## =======================================================
## IMPORTING
## =======================================================
import os
def get_data_from_files(path):
directory = os.listdir(path)
results = []
for file in directory:
f=open(path+file)
results.append(f.read())
f.close()
return results
## =======================================================
## TOKENIZING
## =======================================================
from nltk.tokenize import word_tokenize, sent_tokenize
def get_tokens(sentence):
tokens = word_tokenize(sentence)
clean_tokens = [word.lower() for word in tokens if word.isalpha()]
return clean_tokens
def get_sentence_tokens(review):
return sent_tokenize(review)
## =======================================================
## REMOVING STOPWORDS
## =======================================================
from nltk.corpus import stopwords
stop_words = set(stopwords.words("english"))
def remove_stopwords(sentence):
filtered_text = []
for word in sentence:
if word not in stop_words:
filtered_text.append(word)
return filtered_text
## =======================================================
## FREQUENCY DISTRIBUTIONS
## =======================================================
from nltk.probability import FreqDist
def get_most_common(tokens):
fdist = FreqDist(tokens)
return fdist.most_common(12)
def get_most_common(tokens):
fdist = FreqDist(tokens)
return fdist.most_common(12)
def get_fdist(tokens):
return (FreqDist(tokens))
## =======================================================
## SENTIMENT ANALYSIS
## =======================================================
from nltk.sentiment import SentimentAnalyzer
from nltk.sentiment.util import *
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sid = SentimentIntensityAnalyzer()
def get_vader_score(review):
return sid.polarity_scores(review)
def separate_vader_score(vader_score, key):
return vader_score[key]
## =======================================================
## SUMMARIZER
## =======================================================
def get_weighted_freq_dist(review, freq_dist):
max_freq = max(freq_dist.values())
for word in freq_dist.keys():
freq_dist[word] = (freq_dist[word]/max_freq)
return freq_dist
def get_sentence_score(review, freq_dist):
sentence_scores = {}
for sent in review:
for word in nltk.word_tokenize(sent.lower()):
if word in freq_dist.keys():
if len(sent.split(' ')) < 30:
if sent not in sentence_scores.keys():
sentence_scores[sent] = freq_dist[word]
else:
sentence_scores[sent] += freq_dist[word]
return sentence_scores
def get_summary_sentences(sentence_scores):
sorted_sentences = sorted(sentence_scores.items(), key=lambda kv: kv[1], reverse=True)
return ''.join(sent[0] for sent in sorted_sentences[:5])
def get_freq_words(freq_dist):
sorted_words = sorted(freq_dist.items(), key=lambda kv: kv[1], reverse=True)
return ' '.join(word[0] for word in sorted_words[:50])
def clean_rogue_characters(string):
exclude = ['\\',"\'",'"']
string = ''.join(string.split('\\n'))
string = ''.join(ch for ch in string if ch not in exclude)
return string
import re
def clean_rogue_characters_2(string):
return re.sub('[^0-9a-zA-Z.]+', ' ', string)
def most_freq_words(freq_dist):
return freq_dist.most_common(100)
def pruner(review):
clean_review = ' '.join([word.lower() for word in review.split() if len(word) > 3])
return clean_review
def pruner_v2(review):
clean_review = ' '.join([word.lower() for word in review.split() if len(word) > 3 and word not in stop_words])
return clean_review
def get_bow_from_column(df, column):
all_column_data = ' '.join(df[column].tolist())
all_column_fd = Counter(all_column_data.split())
return all_column_fd
def get_common_words(num):
most_common_neg = [word[0] for word in big_bow_n.most_common(num)]
most_common_pos = [word[0] for word in big_bow_p.most_common(num)]
in_both = np.intersect1d(most_common_neg, most_common_pos)
neg_notpos = np.setdiff1d(most_common_neg, most_common_pos)
pos_notneg = np.setdiff1d(most_common_pos, most_common_neg)
return [len(in_both), len(neg_notpos), len(pos_notneg), len(in_both)/num, in_both, neg_notpos, pos_notneg]
def get_only_polarized(tokens, common_words):
return [token for token in tokens if token not in common_words[4]] # 70
# pos = get_data_from_files('../hw4_lie_false/')
data = get_data_from_files('AmazonPhotoTextCorpus/')
import pandas as pd
import numpy as np
df = pd.DataFrame(data)
all_df = df
all_df['tokens'] = all_df.apply(lambda x: get_tokens(x[0]), axis=1)
all_df['num_tokens'] = all_df.apply(lambda x: len(x['tokens']), axis=1)
all_df = all_df.drop(all_df[all_df.num_tokens < 1].index)
all_df['sentences'] = all_df.apply(lambda x: get_sentence_tokens(x[0]), axis=1)
all_df['num_sentences'] = all_df.apply(lambda x: len(x['sentences']), axis=1)
all_df['no_sw'] = all_df.apply(lambda x: remove_stopwords(x['tokens']),axis=1)
all_df['freq_dist'] = all_df.apply(lambda x: get_fdist(x['no_sw']),axis=1)
all_df['weighted_freq_dist'] = all_df.apply(lambda x: get_weighted_freq_dist(x['sentences'], x['freq_dist']),axis=1)
all_df['sentence_scores'] = all_df.apply(lambda x: get_sentence_score(x['sentences'], x['freq_dist']),axis=1)
all_df['summary_sentences'] = all_df.apply(lambda x: get_summary_sentences(x['sentence_scores']), axis=1)
all_df['clean'] = all_df.apply(lambda x: clean_rogue_characters(x[0]), axis=1)
all_df['clean_v2'] = all_df.apply(lambda x: clean_rogue_characters_2(x[0]), axis=1)
clean_df = pd.DataFrame(all_df['clean_v2'].tolist())
all_df = clean_df.copy()
all_df['tokens'] = all_df.apply(lambda x: get_tokens(x[0]), axis=1)
all_df['num_tokens'] = all_df.apply(lambda x: len(x['tokens']), axis=1)
all_df = all_df.drop(all_df[all_df.num_tokens < 1].index)
all_df['sentences'] = all_df.apply(lambda x: get_sentence_tokens(x[0]), axis=1)
all_df['num_sentences'] = all_df.apply(lambda x: len(x['sentences']), axis=1)
all_df['no_sw'] = all_df.apply(lambda x: remove_stopwords(x['tokens']),axis=1)
all_df['freq_dist'] = all_df.apply(lambda x: get_fdist(x['no_sw']),axis=1)
all_df['weighted_freq_dist'] = all_df.apply(lambda x: get_weighted_freq_dist(x['sentences'], x['freq_dist']),axis=1)
all_df['sentence_scores'] = all_df.apply(lambda x: get_sentence_score(x['sentences'], x['freq_dist']),axis=1)
all_df['summary_sentences'] = all_df.apply(lambda x: get_summary_sentences(x['sentence_scores']), axis=1)
all_df['clean'] = all_df.apply(lambda x: clean_rogue_characters(x[0]), axis=1)
all_df['clean_v2'] = all_df.apply(lambda x: clean_rogue_characters_2(x[0]), axis=1)
all_df['FREQ'] = all_df.apply(lambda x: most_freq_words(x['freq_dist']), axis=1)
all_df['pruned'] = all_df.apply(lambda x: pruner(x[0]), axis=1)
all_df['pruned_nosw'] = all_df.apply(lambda x: pruner_v2(x[0]), axis=1)
all_df
| 0 | tokens | num_tokens | sentences | num_sentences | no_sw | freq_dist | weighted_freq_dist | sentence_scores | summary_sentences | clean | clean_v2 | FREQ | pruned | pruned_nosw | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | iS 11 23 1 Q Search If shine a white LED ligh... | [is, q, search, if, shine, a, white, led, ligh... | 135 | [ iS 11 23 1 Q Search If shine a white LED lig... | 2 | [q, search, shine, white, led, light, prism, w... | {'q': 0.25, 'search': 0.25, 'shine': 0.75, 'wh... | {'q': 0.25, 'search': 0.25, 'shine': 0.75, 'wh... | {'r theemotionmac 140 1 Share r Serendipity u ... | r theemotionmac 140 1 Share r Serendipity u se... | iS 11 23 1 Q Search If shine a white LED ligh... | iS 11 23 1 Q Search If shine a white LED ligh... | [(r, 1.0), (shine, 0.75), (see, 0.75), (line, ... | search shine white light through prism would s... | search shine white light prism would spectrum ... |
| 1 | 6 51 . 0 forums.nexusmods.com ee BrettM fosaym... | [ee, brettm, fosaym, apr, stealth, archery, wo... | 340 | [6 51 ., 0 forums.nexusmods.com ee BrettM fosa... | 16 | [ee, brettm, fosaym, apr, stealth, archery, wo... | {'ee': 0.25, 'brettm': 0.25, 'fosaym': 0.25, '... | {'ee': 0.25, 'brettm': 0.25, 'fosaym': 0.25, '... | {'0 forums.nexusmods.com ee BrettM fosaym 617 ... | You should be far enough away from the first f... | 6 51 . 0 forums.nexusmods.com ee BrettM fosaym... | 6 51 . 0 forums.nexusmods.com ee BrettM fosaym... | [(sneak, 1.0), (one, 1.0), (get, 1.0), (bow, 1... | forums.nexusmods.com brettm fosaym 2012 stealt... | forums.nexusmods.com brettm fosaym 2012 stealt... |
| 2 | 6 52 al Se forums.nexusmods.com 17 Apr 2012 St... | [al, se, apr, stealth, archery, works, great, ... | 345 | [6 52 al Se forums.nexusmods.com 17 Apr 2012 S... | 15 | [al, se, apr, stealth, archery, works, great, ... | {'al': 0.25, 'se': 0.25, 'apr': 0.25, 'stealth... | {'al': 0.25, 'se': 0.25, 'apr': 0.25, 'stealth... | {'6 52 al Se forums.nexusmods.com 17 Apr 2012 ... | You should be far enough away from the first f... | 6 52 al Se forums.nexusmods.com 17 Apr 2012 St... | 6 52 al Se forums.nexusmods.com 17 Apr 2012 St... | [(sneak, 1.0), (one, 1.0), (get, 1.0), (bow, 1... | forums.nexusmods.com 2012 stealth archery work... | forums.nexusmods.com 2012 stealth archery work... |
| 3 | 4 06 aw Fe spokesman.com 4 ILULL. LL 1S SUUULI... | [aw, fe, ilull, ll, suuuliiis, aalllu, culilal... | 121 | [4 06 aw Fe spokesman.com 4 ILULL., LL 1S SUUU... | 10 | [aw, fe, ilull, suuuliiis, aalllu, culilallis,... | {'aw': 0.3333333333333333, 'fe': 0.33333333333... | {'aw': 0.3333333333333333, 'fe': 0.33333333333... | {'4 06 aw Fe spokesman.com 4 ILULL.': 1.0, 'LL... | Listerine contains herbal oils that fight fung... | 4 06 aw Fe spokesman.com 4 ILULL. LL 1S SUUULI... | 4 06 aw Fe spokesman.com 4 ILULL. LL 1S SUUULI... | [(fungus, 1.0), (antifungal, 0.666666666666666... | spokesman.com ilull. suuuliiis aalllu culilall... | spokesman.com ilull. suuuliiis aalllu culilall... |
| 4 | Parents do not own their children. No one owns... | [parents, do, not, own, their, children, no, o... | 315 | [Parents do not own their children., No one ow... | 14 | [parents, children, one, owns, anything, loan,... | {'parents': 0.7142857142857143, 'children': 0.... | {'parents': 0.7142857142857143, 'children': 0.... | {'Parents do not own their children.': 0.78571... | Kids are not carbon copies of parents adoptive... | Parents do not own their children. No one owns... | Parents do not own their children. No one owns... | [(kids, 1.0), (parents, 0.7142857142857143), (... | parents their children. owns anything just loa... | parents children. owns anything loan duration ... |
| 5 | o changed shampoos cut out dairy litres of wat... | [o, changed, shampoos, cut, out, dairy, litres... | 236 | [o changed shampoos cut out dairy litres of wa... | 12 | [changed, shampoos, cut, dairy, litres, water,... | {'changed': 0.2, 'shampoos': 0.2, 'cut': 0.4, ... | {'changed': 0.2, 'shampoos': 0.2, 'cut': 0.4, ... | {'o changed shampoos cut out dairy litres of w... | So searched about antiseptics agents on MRSA a... | o changed shampoos cut out dairy litres of wat... | o changed shampoos cut out dairy litres of wat... | [(mrsa, 1.0), (folliculitis, 0.8), (like, 0.6)... | changed shampoos dairy litres water fast food ... | changed shampoos dairy litres water fast food ... |
| 6 | WEIS 2P 40p o2ua8 yp i deyiaao SpJ0M Jo 3eq su... | [weis, yp, i, deyiaao, jo, suunseayy, z, e, ae... | 183 | [WEIS 2P 40p o2ua8 yp i deyiaao SpJ0M Jo 3eq s... | 1 | [weis, yp, deyiaao, jo, suunseayy, z, e, aeazz... | {'weis': 0.2, 'yp': 0.2, 'deyiaao': 0.2, 'jo':... | {'weis': 0.2, 'yp': 0.2, 'deyiaao': 0.2, 'jo':... | {} | WEIS 2P 40p o2ua8 yp i deyiaao SpJ0M Jo 3eq su... | WEIS 2P 40p o2ua8 yp i deyiaao SpJ0M Jo 3eq su... | [(aq, 1.0), (jo, 0.8), (z, 0.6), (du, 0.6), (t... | weis o2ua8 deyiaao spj0m suunseayy aeazze yoty... | weis o2ua8 deyiaao spj0m suunseayy aeazze yoty... | |
| 7 | casispie hugealienpie thechubbynerd just showe... | [casispie, hugealienpie, thechubbynerd, just, ... | 70 | [casispie hugealienpie thechubbynerd just show... | 7 | [casispie, hugealienpie, thechubbynerd, shower... | {'casispie': 0.5, 'hugealienpie': 0.5, 'thechu... | {'casispie': 0.5, 'hugealienpie': 0.5, 'thechu... | {'casispie hugealienpie thechubbynerd just sho... | casispie hugealienpie thechubbynerd just showe... | casispie hugealienpie thechubbynerd just showe... | casispie hugealienpie thechubbynerd just showe... | [(language, 1.0), (kind, 1.0), (casispie, 0.5)... | casispie hugealienpie thechubbynerd just showe... | casispie hugealienpie thechubbynerd shower tho... |
| 8 | 527k J 173k it Share Oo elfmere 16h Why do you... | [j, it, share, oo, elfmere, why, do, you, work... | 241 | [527k J 173k it Share Oo elfmere 16h Why do yo... | 11 | [j, share, oo, elfmere, work, factory, honors,... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'elfmere... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'elfmere... | {'distinctly recall a coworker of mine who wor... | asked him one time vy what he was doing workin... | 527k J 173k it Share Oo elfmere 16h Why do you... | 527k J 173k it Share Oo elfmere 16h Why do you... | [(one, 1.0), (working, 1.0), (home, 0.75), (de... | 527k 173k share elfmere work factory when have... | 527k 173k share elfmere work factory honors de... |
| 9 | 6 55 at google.com h Google strange women lyin... | [at, h, google, strange, women, lying, in, pon... | 50 | [6 55 at google.com h Google strange women lyi... | 2 | [h, google, strange, women, lying, ponds, dist... | {'h': 0.25, 'google': 0.25, 'strange': 1.0, 'w... | {'h': 0.25, 'google': 0.25, 'strange': 1.0, 'w... | {'In Pon Etsy Redbubble Turtles STRANGE WOMEN ... | In Pon Etsy Redbubble Turtles STRANGE WOMEN AA... | 6 55 at google.com h Google strange women lyin... | 6 55 at google.com h Google strange women lyin... | [(strange, 1.0), (women, 1.0), (lying, 0.75), ... | google.com google strange women lying ponds di... | google.com google strange women lying ponds di... |
| 10 | 1 51 Mail glassdoor.com as GitHub Policy Detai... | [mail, as, github, policy, details, we, encour... | 126 | [1 51 Mail glassdoor.com as GitHub Policy Deta... | 6 | [mail, github, policy, details, encourage, hub... | {'mail': 0.2, 'github': 0.4, 'policy': 0.2, 'd... | {'mail': 0.2, 'github': 0.4, 'policy': 0.2, 'd... | {'1 51 Mail glassdoor.com as GitHub Policy Det... | 1 51 Mail glassdoor.com as GitHub Policy Detai... | 1 51 Mail glassdoor.com as GitHub Policy Detai... | 1 51 Mail glassdoor.com as GitHub Policy Detai... | [(manager, 1.0), (work, 0.6), (github, 0.4), (... | mail glassdoor.com github policy details encou... | mail glassdoor.com github policy details encou... |
| 11 | fantasywriters u SlinkySlang 3h Writing advic... | [fantasywriters, u, slinkyslang, writing, advi... | 172 | [ fantasywriters u SlinkySlang 3h Writing advi... | 11 | [fantasywriters, u, slinkyslang, writing, advi... | {'fantasywriters': 0.2, 'u': 0.2, 'slinkyslang... | {'fantasywriters': 0.2, 'u': 0.2, 'slinkyslang... | {' fantasywriters u SlinkySlang 3h Writing adv... | For the sake of your self esteem your sanity a... | fantasywriters u SlinkySlang 3h Writing advic... | fantasywriters u SlinkySlang 3h Writing advic... | [(first, 1.0), (draft, 0.6), (stop, 0.6), (wri... | fantasywriters slinkyslang writing advice...fr... | fantasywriters slinkyslang writing advice...fr... |
| 12 | 10 21 wil Mail jobs.capitalgroup.com Responsib... | [wil, mail, responsibilities, work, in, a, tea... | 204 | [10 21 wil Mail jobs.capitalgroup.com Responsi... | 5 | [wil, mail, responsibilities, work, team, anal... | {'wil': 0.125, 'mail': 0.125, 'responsibilitie... | {'wil': 0.125, 'mail': 0.125, 'responsibilitie... | {'Proven analytical and problem solving skills... | Proven analytical and problem solving skills w... | 10 21 wil Mail jobs.capitalgroup.com Responsib... | 10 21 wil Mail jobs.capitalgroup.com Responsib... | [(research, 1.0), (portfolio, 0.5), (asset, 0.... | mail jobs.capitalgroup.com responsibilities wo... | mail jobs.capitalgroup.com responsibilities wo... |
| 13 | 177k 3.9k it Share Oo GalacticPingvin 3h lemla... | [it, share, oo, galacticpingvin, lemlang, atli... | 158 | [177k 3.9k it Share Oo GalacticPingvin 3h leml... | 10 | [share, oo, galacticpingvin, lemlang, atlienk,... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'177k 3.9k it Share Oo GalacticPingvin 3h lem... | Her husband at the time basically spent a few ... | 177k 3.9k it Share Oo GalacticPingvin 3h lemla... | 177k 3.9k it Share Oo GalacticPingvin 3h lemla... | [(marriage, 1.0), (time, 0.6666666666666666), ... | 177k 3.9k share galacticpingvin lemlang atlien... | 177k 3.9k share galacticpingvin lemlang atlien... |
| 14 | a. Ricky Montgomery am upset with my parents f... | [ricky, montgomery, am, upset, with, my, paren... | 33 | [a. Ricky Montgomery am upset with my parents ... | 2 | [ricky, montgomery, upset, parents, making, ex... | {'ricky': 1.0, 'montgomery': 1.0, 'upset': 1.0... | {'ricky': 1.0, 'montgomery': 1.0, 'upset': 1.0... | {'a. Ricky Montgomery am upset with my parents... | u just decided to make a person one day who s ... | a. Ricky Montgomery am upset with my parents f... | a. Ricky Montgomery am upset with my parents f... | [(ricky, 1.0), (montgomery, 1.0), (upset, 1.0)... | ricky montgomery upset with parents making exi... | ricky montgomery upset parents making exist. d... |
| 15 | ig nyx5 i prefer guys who make small dick joke... | [ig, i, prefer, guys, who, make, small, dick, ... | 39 | [ig nyx5 i prefer guys who make small dick jok... | 1 | [ig, prefer, guys, make, small, dick, jokes, g... | {'ig': 0.3333333333333333, 'prefer': 0.3333333... | {'ig': 0.3333333333333333, 'prefer': 0.3333333... | {} | ig nyx5 i prefer guys who make small dick joke... | ig nyx5 i prefer guys who make small dick joke... | [(dick, 1.0), (guys, 0.6666666666666666), (mak... | nyx5 prefer guys make small dick jokes about t... | nyx5 prefer guys make small dick jokes guys ma... | |
| 16 | 427 27 it Share Oo mrtrouble22 4h Believer i r... | [it, share, oo, believer, i, read, one, story,... | 166 | [427 27 it Share Oo mrtrouble22 4h Believer i ... | 10 | [share, oo, believer, read, one, story, woman,... | {'share': 0.5, 'oo': 0.5, 'believer': 0.5, 're... | {'share': 0.5, 'oo': 0.5, 'believer': 0.5, 're... | {'427 27 it Share Oo mrtrouble22 4h Believer i... | 427 27 it Share Oo mrtrouble22 4h Believer i r... | 427 27 it Share Oo mrtrouble22 4h Believer i r... | 427 27 it Share Oo mrtrouble22 4h Believer i r... | [(bigfoot, 1.0), (greys, 1.0), (long, 1.0), (s... | share mrtrouble22 believer read story where wo... | share mrtrouble22 believer read story woman gr... |
| 17 | 6 52 al Se forums.nexusmods.com 4 as Soon as y... | [al, se, as, soon, as, you, dismount, and, use... | 301 | [6 52 al Se forums.nexusmods.com 4 as Soon as ... | 14 | [al, se, soon, dismount, use, key, wait, tor, ... | {'al': 0.2, 'se': 0.2, 'soon': 0.2, 'dismount'... | {'al': 0.2, 'se': 0.2, 'soon': 0.2, 'dismount'... | {'6 52 al Se forums.nexusmods.com 4 as Soon as... | like using Shock damage Stamina damage enchant... | 6 52 al Se forums.nexusmods.com 4 as Soon as y... | 6 52 al Se forums.nexusmods.com 4 as Soon as y... | [(damage, 1.0), (bow, 0.8), (arrows, 0.8), (be... | forums.nexusmods.com soon dismount wait dark. ... | forums.nexusmods.com soon dismount wait dark. ... |
| 18 | 11 54 a eG sciencedaily.com The medical commun... | [a, eg, the, medical, community, used, to, thi... | 273 | [11 54 a eG sciencedaily.com The medical commu... | 10 | [eg, medical, community, used, think, obesity,... | {'eg': 0.14285714285714285, 'medical': 0.14285... | {'eg': 0.14285714285714285, 'medical': 0.14285... | {'11 54 a eG sciencedaily.com The medical comm... | Obesity is increasing at 2.3 rate each year am... | 11 54 a eG sciencedaily.com The medical commun... | 11 54 a eG sciencedaily.com The medical commun... | [(obesity, 1.0), (also, 0.42857142857142855), ... | sciencedaily.com medical community used think ... | sciencedaily.com medical community used think ... |
| 19 | lore 54352452524 deactivated201 you can reple... | [lore, you, can, replenish, your, health, by, ... | 67 | [ lore 54352452524 deactivated201 you can repl... | 1 | [lore, replenish, health, drinking, water, bre... | {'lore': 0.5, 'replenish': 0.5, 'health': 1.0,... | {'lore': 0.5, 'replenish': 0.5, 'health': 1.0,... | {} | lore 54352452524 deactivated201 you can reple... | lore 54352452524 deactivated201 you can reple... | [(health, 1.0), (breathing, 1.0), (fresh, 1.0)... | lore 54352452524 deactivated201 replenish your... | lore 54352452524 deactivated201 replenish heal... | |
| 20 | 4128 8 it Share We Datadevourer 3h Recently st... | [it, share, we, datadevourer, recently, starte... | 240 | [4128 8 it Share We Datadevourer 3h Recently s... | 10 | [share, datadevourer, recently, started, using... | {'share': 0.125, 'datadevourer': 0.125, 'recen... | {'share': 0.125, 'datadevourer': 0.125, 'recen... | {'4128 8 it Share We Datadevourer 3h Recently ... | However it s not at all good to rely on others... | 4128 8 it Share We Datadevourer 3h Recently st... | 4128 8 it Share We Datadevourer 3h Recently st... | [(time, 1.0), (try, 0.5), (sometimes, 0.375), ... | 4128 share datadevourer recently started using... | 4128 share datadevourer recently started using... |
| 21 | 53.2k 176k it Share o PyroSnakel41 13h Become... | [it, share, o, become, a, politician, and, rai... | 165 | [ 53.2k 176k it Share o PyroSnakel41 13h Becom... | 8 | [share, become, politician, raise, pay, creati... | {'share': 0.25, 'become': 0.25, 'politician': ... | {'share': 0.25, 'become': 0.25, 'politician': ... | {' 53.2k 176k it Share o PyroSnakel41 13h Beco... | o 9 14k owningmclovin 10h Most of the federal ... | 53.2k 176k it Share o PyroSnakel41 13h Become... | 53.2k 176k it Share o PyroSnakel41 13h Become... | [(rich, 1.0), (raise, 0.75), (would, 0.75), (p... | 53.2k 176k share pyrosnakel41 become politicia... | 53.2k 176k share pyrosnakel41 become politicia... |
| 22 | r nosurf u fibonacciseries 9d Turning on the G... | [r, nosurf, u, fibonacciseries, turning, on, t... | 203 | [r nosurf u fibonacciseries 9d Turning on the ... | 10 | [r, nosurf, u, fibonacciseries, turning, greys... | {'r': 0.125, 'nosurf': 0.125, 'u': 0.125, 'fib... | {'r': 0.125, 'nosurf': 0.125, 'u': 0.125, 'fib... | {'r nosurf u fibonacciseries 9d Turning on the... | r nosurf u fibonacciseries 9d Turning on the G... | r nosurf u fibonacciseries 9d Turning on the G... | r nosurf u fibonacciseries 9d Turning on the G... | [(phone, 1.0), (attractive, 0.5), (filter, 0.3... | nosurf fibonacciseries turning greyscale filte... | nosurf fibonacciseries turning greyscale filte... |
| 23 | Vote J 10 it Share Oo it2051229 36m In the be... | [vote, j, it, share, oo, in, the, beginning, t... | 220 | [ Vote J 10 it Share Oo it2051229 36m In the b... | 12 | [vote, j, share, oo, beginning, thing, compute... | {'vote': 0.3333333333333333, 'j': 0.3333333333... | {'vote': 0.3333333333333333, 'j': 0.3333333333... | {' Vote J 10 it Share Oo it2051229 36m In the ... | Rey 24 binjamin2 36m Computer science is heave... | Vote J 10 it Share Oo it2051229 36m In the be... | Vote J 10 it Share Oo it2051229 36m In the be... | [(take, 1.0), (efficiently, 1.0), (computers, ... | vote share it2051229 beginning there such thin... | vote share it2051229 beginning thing computer ... |
| 24 | 4 50 Q Search News Home Popular 20k J 15 it Sh... | [q, search, news, home, popular, j, it, share,... | 55 | [4 50 Q Search News Home Popular 20k J 15 it S... | 2 | [q, search, news, home, popular, j, share, r, ... | {'q': 0.5, 'search': 0.5, 'news': 0.5, 'home':... | {'q': 0.5, 'search': 0.5, 'news': 0.5, 'home':... | {'4 50 Q Search News Home Popular 20k J 15 it ... | 4 50 Q Search News Home Popular 20k J 15 it Sh... | 4 50 Q Search News Home Popular 20k J 15 it Sh... | 4 50 Q Search News Home Popular 20k J 15 it Sh... | [(share, 1.0), (r, 1.0), (u, 1.0), (bullet, 1.... | search news home popular share basicbulletjour... | search news home popular share basicbulletjour... |
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| 26 | 124k J 49k it Share Oo Go 234 15 MORE REPLIES... | [j, it, share, oo, go, more, replies, honchomi... | 100 | [ 124k J 49k it Share Oo Go 234 15 MORE REPLIE... | 6 | [j, share, oo, go, replies, honchominerva, cj,... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'go': 0.... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'go': 0.... | {'Bing Crosby single handedly managed to creat... | Bing Crosby single handedly managed to create ... | 124k J 49k it Share Oo Go 234 15 MORE REPLIES... | 124k J 49k it Share Oo Go 234 15 MORE REPLIES... | [(honchominerva, 1.0), (bing, 1.0), (crosby, 1... | 124k share more replies honchominerva moki hon... | 124k share more replies honchominerva moki hon... |
| 27 | 124k J 49k it Share Oo 10 MORE REPLIES sudden... | [j, it, share, oo, more, replies, suddenly, sa... | 110 | [ 124k J 49k it Share Oo 10 MORE REPLIES sudde... | 7 | [j, share, oo, replies, suddenly, satire, augu... | {'j': 0.3333333333333333, 'share': 0.333333333... | {'j': 0.3333333333333333, 'share': 0.333333333... | {'To date it is the strongest candidate for an... | The Wow signal was detected on August 16 1977 ... | 124k J 49k it Share Oo 10 MORE REPLIES sudden... | 124k J 49k it Share Oo 10 MORE REPLIES sudden... | [(replies, 1.0), (august, 1.0), (radio, 1.0), ... | 124k share more replies suddenly satire august... | 124k share more replies suddenly satire august... |
| 28 | 2 07 al a 2 Messages Back Front Back NV I m no... | [al, a, messages, back, front, back, nv, i, m,... | 160 | [2 07 al a 2 Messages Back Front Back NV I m n... | 7 | [al, messages, back, front, back, nv, home, ri... | {'al': 0.25, 'messages': 0.25, 'back': 1.0, 'f... | {'al': 0.25, 'messages': 0.25, 'back': 1.0, 'f... | {'read that and her other interview book.': 1.... | promise to come back and extend the list when ... | 2 07 al a 2 Messages Back Front Back NV I m no... | 2 07 al a 2 Messages Back Front Back NV I m no... | [(back, 1.0), (recommend, 0.75), (problems, 0.... | messages back front back home right going give... | messages back front back home right going give... |
| 29 | 527k J 173k it Share Oo Q Reply 56k H insertca... | [j, it, share, oo, q, reply, h, insertcaffeine... | 161 | [527k J 173k it Share Oo Q Reply 56k H insertc... | 10 | [j, share, oo, q, reply, h, insertcaffeine, qu... | {'j': 0.6666666666666666, 'share': 0.333333333... | {'j': 0.6666666666666666, 'share': 0.333333333... | {'527k J 173k it Share Oo Q Reply 56k H insert... | Go 9 16 4 3 MORE REPLIES 75 MORE REPLIES imk 1... | 527k J 173k it Share Oo Q Reply 56k H insertca... | 527k J 173k it Share Oo Q Reply 56k H insertca... | [(asked, 1.0), (j, 0.6666666666666666), (reply... | 527k 173k share reply insertcaffeine questions... | 527k 173k share reply insertcaffeine questions... |
| 30 | 124k J 49k it Share Oo 2 MORE REPLIES 1 MORE ... | [j, it, share, oo, more, replies, more, reply,... | 156 | [ 124k J 49k it Share Oo 2 MORE REPLIES 1 MORE... | 8 | [j, share, oo, replies, reply, replies, honcho... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'replies... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'replies... | {'The particularly interesting part is that it... | Over the past 200 years numerous chess masters... | 124k J 49k it Share Oo 2 MORE REPLIES 1 MORE ... | 124k J 49k it Share Oo 2 MORE REPLIES 1 MORE ... | [(alphazero, 1.0), (chess, 1.0), (j, 0.5), (re... | 124k share more replies more reply more replie... | 124k share more replies more reply more replie... |
| 31 | f r stopdrinking u creaturefeaturel6 10h 689 d... | [f, r, stopdrinking, u, days, a, very, sad, te... | 244 | [f r stopdrinking u creaturefeaturel6 10h 689 ... | 19 | [f, r, stopdrinking, u, days, sad, text, messa... | {'f': 0.3333333333333333, 'r': 0.3333333333333... | {'f': 0.3333333333333333, 'r': 0.3333333333333... | {'f r stopdrinking u creaturefeaturel6 10h 689... | You looked like you were going to pass out in ... | f r stopdrinking u creaturefeaturel6 10h 689 d... | f r stopdrinking u creaturefeaturel6 10h 689 d... | [(feel, 1.0), (like, 1.0), (sad, 0.66666666666... | stopdrinking creaturefeaturel6 days very text ... | stopdrinking creaturefeaturel6 days text messa... |
| 32 | 6 51 al Se forums.nexusmods.com 4 ToniPrufrock... | [al, se, toniprufrock, apr, so, was, getting, ... | 255 | [6 51 al Se forums.nexusmods.com 4 ToniPrufroc... | 12 | [al, se, toniprufrock, apr, getting, little, b... | {'al': 0.3333333333333333, 'se': 0.33333333333... | {'al': 0.3333333333333333, 'se': 0.33333333333... | {'Not exactly the most dignified way to go.': ... | faced 2 dragons from the offset outside each o... | 6 51 al Se forums.nexusmods.com 4 ToniPrufrock... | 6 51 al Se forums.nexusmods.com 4 ToniPrufrock... | [(go, 1.0), (dragons, 1.0), (getting, 0.666666... | forums.nexusmods.com toniprufrock 2012 getting... | forums.nexusmods.com toniprufrock 2012 getting... |
| 33 | 12 40 1 Fe ice comftort ae iY wsyusuallyjread ... | [fe, ice, comftort, ae, iy, wsyusuallyjread, a... | 31 | [12 40 1 Fe ice comftort ae iY wsyusuallyjread... | 4 | [fe, ice, comftort, ae, iy, wsyusuallyjread, c... | {'fe': 0.5, 'ice': 0.5, 'comftort': 0.5, 'ae':... | {'fe': 0.5, 'ice': 0.5, 'comftort': 0.5, 'ae':... | {'12 40 1 Fe ice comftort ae iY wsyusuallyjrea... | 12 40 1 Fe ice comftort ae iY wsyusuallyjread ... | 12 40 1 Fe ice comftort ae iY wsyusuallyjread ... | 12 40 1 Fe ice comftort ae iY wsyusuallyjread ... | [(images, 1.0), (fe, 0.5), (ice, 0.5), (comfto... | comftort wsyusuallyjread chapter book lightsjo... | comftort wsyusuallyjread chapter book lightsjo... |
| 34 | 8 00 wl LTE google.com hy It was October 28 19... | [wl, lte, hy, it, was, october, his, third, bi... | 125 | [8 00 wl LTE google.com hy It was October 28 1... | 6 | [wl, lte, hy, october, third, birthday, phoeni... | {'wl': 0.3333333333333333, 'lte': 0.3333333333... | {'wl': 0.3333333333333333, 'lte': 0.3333333333... | {'8 00 wl LTE google.com hy It was October 28 ... | 8 00 wl LTE google.com hy It was October 28 19... | 8 00 wl LTE google.com hy It was October 28 19... | 8 00 wl LTE google.com hy It was October 28 19... | [(phoenix, 1.0), (venezuela, 1.0), (parents, 1... | google.com october 1977 third birthday phoenix... | google.com october 1977 third birthday phoenix... |
| 35 | 86k 3.5k it Share Oo MrBOOMbabdtlc 7h flinty d... | [it, share, oo, mrboombabdtlc, flinty, day, of... | 145 | [86k 3.5k it Share Oo MrBOOMbabdtlc 7h flinty ... | 8 | [share, oo, mrboombabdtlc, flinty, day, lovesm... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'86k 3.5k it Share Oo MrBOOMbabdtlc 7h flinty... | Go 9 2k y Mudders Milk Man 3h Fun fact Bryan A... | 86k 3.5k it Share Oo MrBOOMbabdtlc 7h flinty d... | 86k 3.5k it Share Oo MrBOOMbabdtlc 7h flinty d... | [(porch, 1.0), (adams, 1.0), (forever, 0.66666... | 3.5k share mrboombabdtlc flinty lovesmesomered... | 3.5k share mrboombabdtlc flinty lovesmesomered... |
| 36 | 21k J 2.1k it Share Oo Ww DOO VYUNINIENISO WwW... | [j, it, share, oo, ww, doo, vyuninieniso, www,... | 94 | [21k J 2.1k it Share Oo Ww DOO VYUNINIENISO Ww... | 7 | [j, share, oo, ww, doo, vyuninieniso, www, fuc... | {'j': 0.25, 'share': 0.25, 'oo': 0.25, 'ww': 0... | {'j': 0.25, 'share': 0.25, 'oo': 0.25, 'ww': 0... | {'21k J 2.1k it Share Oo Ww DOO VYUNINIENISO W... | 21k J 2.1k it Share Oo Ww DOO VYUNINIENISO WwW... | 21k J 2.1k it Share Oo Ww DOO VYUNINIENISO WwW... | 21k J 2.1k it Share Oo Ww DOO VYUNINIENISO WwW... | [(nerves, 1.0), (skydiving, 0.5), (super, 0.5)... | 2.1k share vyuninieniso fuckin mate happy8day ... | 2.1k share vyuninieniso fuckin mate happy8day ... |
| 37 | 4 147k J 314 it Share Oo mikevago 4h One of my... | [j, it, share, oo, mikevago, one, of, my, favo... | 179 | [4 147k J 314 it Share Oo mikevago 4h One of m... | 9 | [j, share, oo, mikevago, one, favorite, things... | {'j': 0.25, 'share': 0.25, 'oo': 0.25, 'mikeva... | {'j': 0.25, 'share': 0.25, 'oo': 0.25, 'mikeva... | {'ie.': 0.25, 'the selfish short sighted schem... | Back in the day the stern cardigan wearing pip... | 4 147k J 314 it Share Oo mikevago 4h One of my... | 4 147k J 314 it Share Oo mikevago 4h One of my... | [(dad, 1.0), (deep, 0.75), (one, 0.5), (shows,... | 147k share mikevago favorite things about both... | 147k share mikevago favorite things shows ralp... |
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| 40 | 423 M6 it Share Oo specific or more detailed w... | [it, share, oo, specific, or, more, detailed, ... | 195 | [423 M6 it Share Oo specific or more detailed ... | 9 | [share, oo, specific, detailed, probably, talk... | {'share': 0.2, 'oo': 0.4, 'specific': 0.2, 'de... | {'share': 0.2, 'oo': 0.4, 'specific': 0.2, 'de... | {'The fact that it is difficult and a lot of i... | oO 9 F Vote rookhunter 22d It s a feature of d... | 423 M6 it Share Oo specific or more detailed w... | 423 M6 it Share Oo specific or more detailed w... | [(hunt, 1.0), (would, 0.6), (solved, 0.6), (oo... | share specific more detailed probably wouldn t... | share specific detailed probably talking never... |
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| 43 | 2 48 at O Ali Ho 8 Today 10 40 AM Recommendati... | [at, o, ali, ho, today, am, recommendations, a... | 102 | [2 48 at O Ali Ho 8 Today 10 40 AM Recommendat... | 5 | [ali, ho, today, recommendations, ask, recomme... | {'ali': 1.0, 'ho': 0.25, 'today': 0.5, 'recomm... | {'ali': 1.0, 'ho': 0.25, 'today': 0.5, 'recomm... | {'Overall you have d well.': 0.5, 'A grade of ... | This is GOOD GR We dazzled her eo c ocA grade ... | 2 48 at O Ali Ho 8 Today 10 40 AM Recommendati... | 2 48 at O Ali Ho 8 Today 10 40 AM Recommendati... | [(ali, 1.0), (data, 0.75), (today, 0.5), (prof... | today recommendations recommended received giv... | today recommendations recommended received giv... |
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| 45 | 6 52 wi Fe 4 forums.nexusmods.com best arrows ... | [wi, fe, best, arrows, that, a, merchant, will... | 268 | [6 52 wi Fe 4 forums.nexusmods.com best arrows... | 16 | [wi, fe, best, arrows, merchant, offer, charac... | {'wi': 0.14285714285714285, 'fe': 0.1428571428... | {'wi': 0.14285714285714285, 'fe': 0.1428571428... | {'6 52 wi Fe 4 forums.nexusmods.com best arrow... | like using Shock damage Stamina damage enchant... | 6 52 wi Fe 4 forums.nexusmods.com best arrows ... | 6 52 wi Fe 4 forums.nexusmods.com best arrows ... | [(damage, 1.0), (arrows, 0.5714285714285714), ... | forums.nexusmods.com best arrows that merchant... | forums.nexusmods.com best arrows merchant offe... |
| 46 | 4128 8 it Share We UMNKINg ADOUL It ana e naQ ... | [it, share, we, umnking, adoul, it, ana, e, na... | 211 | [4128 8 it Share We UMNKINg ADOUL It ana e naQ... | 8 | [share, umnking, adoul, ana, e, naq, waslin, i... | {'share': 0.25, 'umnking': 0.25, 'adoul': 0.25... | {'share': 0.25, 'umnking': 0.25, 'adoul': 0.25... | {'4128 8 it Share We UMNKINg ADOUL It ana e na... | it ll help you keep track of what you break as... | 4128 8 it Share We UMNKINg ADOUL It ana e naQ ... | 4128 8 it Share We UMNKINg ADOUL It ana e naQ ... | [(make, 1.0), (problem, 0.75), (time, 0.5), (t... | 4128 share umnking adoul waslin spiral into pr... | 4128 share umnking adoul waslin spiral problem... |
| 47 | 124k J 49k it Share Oo 5 MORE REPLIES HonchoM... | [j, it, share, oo, more, replies, honchominerv... | 155 | [ 124k J 49k it Share Oo 5 MORE REPLIES Honcho... | 8 | [j, share, oo, replies, honchominerva, honchom... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'replies... | {'j': 0.5, 'share': 0.25, 'oo': 0.25, 'replies... | {'The particularly interesting part is that it... | Over the past 200 years numerous chess masters... | 124k J 49k it Share Oo 5 MORE REPLIES HonchoM... | 124k J 49k it Share Oo 5 MORE REPLIES HonchoM... | [(alphazero, 1.0), (chess, 1.0), (replies, 0.7... | 124k share more replies honchominerva honchomi... | 124k share more replies honchominerva honchomi... |
| 48 | Being a pet owner is like being a sugar daddy.... | [being, a, pet, owner, is, like, being, a, sug... | 89 | [Being a pet owner is like being a sugar daddy... | 5 | [pet, owner, like, sugar, daddy, waste, money,... | {'pet': 0.5, 'owner': 0.5, 'like': 0.5, 'sugar... | {'pet': 0.5, 'owner': 0.5, 'like': 0.5, 'sugar... | {'Being a pet owner is like being a sugar dadd... | You waste all of your money on keeping them ha... | Being a pet owner is like being a sugar daddy.... | Being a pet owner is like being a sugar daddy.... | [(jack, 1.0), (pet, 0.5), (owner, 0.5), (like,... | being owner like being sugar daddy. waste your... | being owner like sugar daddy. waste money keep... |
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| 50 | 7 42 all All inboxes N Parker from Interview C... | [all, all, inboxes, n, parker, from, interview... | 159 | [7 42 all All inboxes N Parker from Interview ... | 6 | [inboxes, n, parker, interview, cake, yesthisi... | {'inboxes': 0.2, 'n': 0.4, 'parker': 0.2, 'int... | {'inboxes': 0.2, 'n': 0.4, 'parker': 0.2, 'int... | {'So instead of storing each of those characte... | So instead of storing each of those characters... | 7 42 all All inboxes N Parker from Interview C... | 7 42 all All inboxes N Parker from Interview C... | [(stack, 1.0), (problem, 0.8), (week, 0.8), (i... | inboxes parker from interview cake 00pm yesthi... | inboxes parker interview cake 00pm yesthisiske... |
| 51 | stupid bumps are that painful pus filled kinda... | [stupid, bumps, are, that, painful, pus, fille... | 236 | [stupid bumps are that painful pus filled kind... | 13 | [stupid, bumps, painful, pus, filled, kinda, l... | {'stupid': 0.2, 'bumps': 0.2, 'painful': 0.2, ... | {'stupid': 0.2, 'bumps': 0.2, 'painful': 0.2, ... | {'stupid bumps are that painful pus filled kin... | So searched about antiseptics agents on MRSA a... | stupid bumps are that painful pus filled kinda... | stupid bumps are that painful pus filled kinda... | [(mrsa, 1.0), (like, 0.6), (folliculitis, 0.6)... | stupid bumps that painful filled kinda like ac... | stupid bumps painful filled kinda like acne ye... |
| 52 | spokesman.com 4 A. Jock itch is normally caus... | [jock, itch, is, normally, caused, by, a, fung... | 107 | [ spokesman.com 4 A. Jock itch is normally cau... | 8 | [jock, itch, normally, caused, fungal, infecti... | {'jock': 0.6666666666666666, 'itch': 0.6666666... | {'jock': 0.6666666666666666, 'itch': 0.6666666... | {' spokesman.com 4 A. Jock itch is normally ca... | You may want to alternate it with other OTC an... | spokesman.com 4 A. Jock itch is normally caus... | spokesman.com 4 A. Jock itch is normally caus... | [(contains, 1.0), (antifungal, 1.0), (jock, 0.... | spokesman.com jock itch normally caused fungal... | spokesman.com jock itch normally caused fungal... |
| 53 | 10 21 Mail ef jobs.capitalgroup.com Date Oct 1... | [mail, ef, date, oct, location, los, angeles, ... | 182 | [10 21 Mail ef jobs.capitalgroup.com Date Oct ... | 5 | [mail, ef, date, oct, location, los, angeles, ... | {'mail': 0.125, 'ef': 0.125, 'date': 0.25, 'oc... | {'mail': 0.125, 'ef': 0.125, 'date': 0.25, 'oc... | {'All investment group associates are expected... | A hallmark of Capital s philosophy is an overr... | 10 21 Mail ef jobs.capitalgroup.com Date Oct 1... | 10 21 Mail ef jobs.capitalgroup.com Date Oct 1... | [(capital, 1.0), (group, 0.875), (solutions, 0... | mail jobs.capitalgroup.com date 2019 location ... | mail jobs.capitalgroup.com date 2019 location ... |
| 54 | 47g Mo it Share Oo VULTESIUPIILVIAVII CII Step... | [mo, it, share, oo, vultesiupiilviavii, cii, s... | 234 | [47g Mo it Share Oo VULTESIUPIILVIAVII CII Ste... | 11 | [mo, share, oo, vultesiupiilviavii, cii, steph... | {'mo': 0.25, 'share': 0.25, 'oo': 0.25, 'vulte... | {'mo': 0.25, 'share': 0.25, 'oo': 0.25, 'vulte... | {'47g Mo it Share Oo VULTESIUPIILVIAVII CII St... | took Stephen Grider s modern react redux 2019 ... | 47g Mo it Share Oo VULTESIUPIILVIAVII CII Step... | 47g Mo it Share Oo VULTESIUPIILVIAVII CII Step... | [(react, 1.0), (took, 0.75), (way, 0.75), (end... | share vultesiupiilviavii stephen grider been p... | share vultesiupiilviavii stephen grider profes... |
| 55 | a couple of scenes later when Mr. Robot is wea... | [a, couple, of, scenes, later, when, mr, robot... | 241 | [a couple of scenes later when Mr., Robot is w... | 10 | [couple, scenes, later, mr, robot, wearing, sc... | {'couple': 0.2, 'scenes': 0.2, 'later': 0.2, '... | {'couple': 0.2, 'scenes': 0.2, 'later': 0.2, '... | {'a couple of scenes later when Mr.': 0.8, 'Ro... | TL DR You re not elliot you re the alter think... | a couple of scenes later when Mr. Robot is wea... | a couple of scenes later when Mr. Robot is wea... | [(think, 1.0), (actually, 0.8), (elliot, 0.6),... | couple scenes later when robot wearing scarf p... | couple scenes later robot wearing scarf protec... |
| 56 | 27k 6.2k it Share Oo Tell Rachel said Hi. o 9 ... | [it, share, oo, tell, rachel, said, hi, o, mor... | 153 | [27k 6.2k it Share Oo Tell Rachel said Hi., o ... | 9 | [share, oo, tell, rachel, said, hi, replies, r... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'share': 0.3333333333333333, 'oo': 0.33333333... | {'27k 6.2k it Share Oo Tell Rachel said Hi.': ... | Oh and didja know Arsenic is extremely water s... | 27k 6.2k it Share Oo Tell Rachel said Hi. o 9 ... | 27k 6.2k it Share Oo Tell Rachel said Hi. o 9 ... | [(enough, 1.0), (replies, 0.6666666666666666),... | 6.2k share tell rachel said 3324 more replies ... | 6.2k share tell rachel said 3324 more replies ... |
| 57 | 10 01 WF 4 google.com Google deacon fallout 4 ... | [wf, google, deacon, fallout, voice, actor, x,... | 48 | [10 01 WF 4 google.com Google deacon fallout 4... | 2 | [wf, google, deacon, fallout, voice, actor, x,... | {'wf': 0.25, 'google': 0.25, 'deacon': 0.5, 'f... | {'wf': 0.25, 'google': 0.25, 'deacon': 0.5, 'f... | {'Fandom fallout wiki Ryan Al... Ryan Alosio F... | Fandom fallout wiki Ryan Al... Ryan Alosio Fal... | 10 01 WF 4 google.com Google deacon fallout 4 ... | 10 01 WF 4 google.com Google deacon fallout 4 ... | [(fallout, 1.0), (ryan, 1.0), (alosio, 0.75), ... | google.com google deacon fallout voice actor n... | google.com google deacon fallout voice actor n... |
def get_bow_from_column(df, column):
all_column_data = ' '.join(df[column].tolist())
all_column_fd = Counter(all_column_data.split())
return all_column_fd
big_bow = get_bow_from_column(all_df, 'pruned_nosw')
big_bow.most_common(50)
[('share', 34),
('time', 32),
('like', 32),
('would', 26),
('best', 22),
('enough', 21),
('back', 21),
('more', 19),
('first', 17),
('people', 17),
('using', 16),
('arrows', 16),
('parents', 16),
('reply', 16),
('good', 15),
('make', 15),
('work', 15),
('think', 15),
('problem', 14),
('this', 14),
('years', 14),
('replies', 14),
('damage', 13),
('kids', 13),
('research', 13),
('every', 13),
('also', 13),
('thing', 12),
('things', 12),
('know', 12),
('acomment', 12),
('long', 11),
('sneak', 11),
('even', 11),
('many', 11),
('vote', 11),
('solutions', 11),
('find', 10),
('able', 10),
('take', 10),
('away', 10),
('said', 10),
('need', 10),
('made', 10),
('since', 9),
('less', 9),
('much', 9),
('couple', 9),
('keep', 9),
('then', 9)]
def get_bow_from_dict(df, column):
each_freq = df[column].tolist()
most_freq = []
for freq in each_freq:
for f in freq:
most_freq.append(f[0])
# print(freq[0])
# print(most_freq)
print(Counter(most_freq))
# just_words = [k for (k,v) in df[column].tolist()]
# print(just_words)
# all_column_data = ' '.join(df[column].tolist())
# all_column_fd = Counter(all_column_data.split())
# return all_column_fd
get_bow_from_dict(all_df, 'FREQ')
# [my_series[c].value_counts() for c in list(my_series.select_dtypes(include=['O']).columns)]
Counter({'share': 29, 'one': 25, 'oo': 22, 'like': 21, 'would': 17, 'time': 17, 'go': 17, 'j': 17, 'back': 16, 'get': 15, 'use': 13, 'work': 13, 'best': 12, 'good': 12, 'people': 12, 'add': 12, 'reply': 12, 'using': 11, 'first': 11, 'thing': 11, 'make': 11, 'things': 11, 'years': 11, 'enough': 10, 'said': 10, 'day': 10, 'also': 10, 'acomment': 10, 'level': 9, 'even': 9, 'problem': 9, 'need': 9, 'every': 9, 'made': 9, 'know': 9, 'think': 9, 'u': 8, 'q': 8, 'since': 8, 'got': 8, 'find': 8, 'around': 8, 'could': 8, 'al': 8, 'keep': 8, 'came': 8, 'making': 8, 'see': 7, 'less': 7, 'way': 7, 'away': 7, 'long': 7, 'far': 7, 'much': 7, 'take': 7, 'started': 7, 'course': 7, 'well': 7, 'many': 7, 'research': 7, 'vote': 7, 'us': 7, 'something': 7, 'really': 7, 'times': 7, 'want': 6, 'life': 6, 'understand': 6, 'home': 6, 'water': 6, 'found': 6, 'repy': 6, 'went': 6, 'amazing': 6, 'never': 6, 'lot': 6, 'learning': 6, 'looking': 6, 'replies': 6, 'r': 5, 'little': 5, 'put': 5, 'x': 5, 'great': 5, 'without': 5, 'soon': 5, 'dragons': 5, 'finally': 5, 'shows': 5, 'may': 5, 'try': 5, 'parents': 5, 'person': 5, 'sure': 5, 'say': 5, 'gone': 5, 'mine': 5, 'used': 5, 'thought': 5, 'food': 5, 'right': 5, 'full': 5, 'next': 5, 'real': 5, 'bit': 5, 'old': 5, 'high': 5, 'spent': 5, 'everyone': 5, 'etc': 5, 'decided': 5, 'ask': 5, 'better': 5, 'year': 5, 'human': 5, 'instead': 5, 'done': 5, 'give': 5, 'based': 5, 'led': 4, 'light': 4, 'search': 4, 'room': 4, 'post': 4, 'sneak': 4, 'bow': 4, 'arrows': 4, 'draugr': 4, 'able': 4, 'couple': 4, 'pick': 4, 'perk': 4, 'damage': 4, 'wait': 4, 'characters': 4, 'attention': 4, 'dragon': 4, 'apr': 4, 'takes': 4, 'especially': 4, 'foes': 4, 'sneaky': 4, 'quick': 4, 'either': 4, 'nice': 4, 'perks': 4, 'glycol': 4, 'let': 4, 'help': 4, 'world': 4, 'children': 4, 'always': 4, 'tell': 4, 'exactly': 4, 'change': 4, 'often': 4, 'others': 4, 'money': 4, 'dinner': 4, 'cut': 4, 'saying': 4, 'super': 4, 'fast': 4, 'usually': 4, 'kind': 4, 'must': 4, 'two': 4, 'ago': 4, 'mind': 4, 'e': 4, 'c': 4, 'word': 4, 'sometimes': 4, 'pretty': 4, 'man': 4, 'google': 4, 'ca': 4, 'self': 4, 'development': 4, 'data': 4, 'health': 4, 'ever': 4, 'weeks': 4, 'source': 4, 'solutions': 4, 'topics': 4, 'learn': 4, 'live': 4, 'together': 4, 'pay': 4, 'big': 4, 'saw': 4, 'given': 4, 'yet': 4, 'method': 4, 'past': 4, 'part': 4, 'end': 4, 'might': 4, 'whatever': 4, 'messages': 4, 'v': 4, 'forever': 4, 'days': 4, 'honchominerva': 4, 'hours': 4, 'later': 4, 'front': 4, 'look': 4, 'interesting': 4, 'set': 4, 'yes': 4, 'blue': 3, 'actually': 3, 'anything': 3, 'makes': 3, 'ought': 3, 'dark': 3, 'archery': 3, 'works': 3, 'eagle': 3, 'eye': 3, 'dismount': 3, 'key': 3, 'notice': 3, 'shout': 3, 'fus': 3, 'battle': 3, 'taken': 3, 'nearby': 3, 'closest': 3, 'dragur': 3, 'engage': 3, 'draw': 3, 'sort': 3, 'enchant': 3, 'armor': 3, 'fond': 3, 'elven': 3, 'weight': 3, 'ratio': 3, 'improved': 3, 'max': 3, 'invested': 3, 'smithing': 3, 'se': 3, 'supply': 3, 'activity': 3, 'skin': 3, 'fe': 3, 'young': 3, 'woman': 3, 'affected': 3, 'job': 3, 'second': 3, 'face': 3, 'break': 3, 'come': 3, 'early': 3, 'least': 3, 'beginning': 3, 'completely': 3, 'worse': 3, 'took': 3, 'antibiotic': 3, 'fungal': 3, 'resistant': 3, 'antibiotics': 3, 'tools': 3, 'clean': 3, 'guy': 3, 'cure': 3, 'worked': 3, 'gon': 3, 'na': 3, 'almost': 3, 'coming': 3, 'lol': 3, 'asked': 3, 'point': 3, 'several': 3, 'hell': 3, 'love': 3, 'images': 3, 'videos': 3, 'news': 3, 'manager': 3, 'director': 3, 'mail': 3, 'offer': 3, 'support': 3, 'global': 3, 'contribute': 3, 'advice': 3, 'new': 3, 'probably': 3, 'asset': 3, 'skills': 3, 'develop': 3, 'ways': 3, 'problems': 3, 'experience': 3, 'friend': 3, 'closed': 3, 'care': 3, 'reason': 3, 'upset': 3, 'talk': 3, 'earth': 3, 'f': 3, 'read': 3, 'story': 3, 'studied': 3, 'character': 3, 'types': 3, 'effect': 3, 'review': 3, 'however': 3, 'lead': 3, 'passed': 3, 'feel': 3, 'trying': 3, 'recently': 3, 'kinda': 3, 'happy': 3, 'solving': 3, 'start': 3, 'different': 3, 'getting': 3, 'fucking': 3, 'ones': 3, 'products': 3, 'advantage': 3, 'algorithms': 3, 'related': 3, 'popular': 3, 'helpful': 3, 'similar': 3, 'north': 3, 'likely': 3, 'going': 3, 'coding': 3, 'million': 3, 'last': 3, 'wrong': 3, 'still': 3, 'track': 3, 'playing': 3, 'seemed': 3, 'somehow': 3, 'game': 3, 'main': 3, 'gold': 3, 'wrote': 3, 'girl': 3, 'elsewhere': 3, 'thinking': 2, 'w': 2, 'question': 2, 'simple': 2, 'act': 2, 'powerful': 2, 'step': 2, 'ee': 2, 'shots': 2, 'stealth': 2, 'range': 2, 'deathlord': 2, 'shot': 2, 'triple': 2, 'helps': 2, 'dusk': 2, 'maximize': 2, 'potential': 2, 'arrive': 2, 'daylight': 2, 'crouch': 2, 'fungus': 2, 'antifungal': 2, 'area': 2, 'propylene': 2, 'cetyl': 2, 'alcohol': 2, 'effective': 2, 'men': 2, 'minutes': 2, 'rinse': 2, 'ingredient': 2, 'contains': 2, 'kids': 2, 'someone': 2, 'individuals': 2, 'slow': 2, 'drives': 2, 'push': 2, 'heart': 2, 'family': 2, 'initially': 2, 'changes': 2, 'relationship': 2, 'applies': 2, 'mrsa': 2, 'folliculitis': 2, 'dettol': 2, 'searched': 2, 'inhibits': 2, 'choloroxylenol': 2, 'solution': 2, 'remembered': 2, 'clorox': 2, 'hair': 2, 'changed': 2, 'shampoos': 2, 'dairy': 2, 'litres': 2, 'pills': 2, 'bacterial': 2, 'idk': 2, 'imagined': 2, 'antiseptics': 2, 'agents': 2, 'methicillin': 2, 'staph': 2, 'dont': 2, 'hospitals': 2, 'stations': 2, 'papers': 2, 'chlorhexidine': 2, 'multipurpose': 2, 'grandpa': 2, 'bathes': 2, 'safe': 2, 'study': 2, 'showed': 2, 'week': 2, 'ta': 2, 'ae': 2, 'le': 2, 'language': 2, 'thoughts': 2, 'function': 2, 'weird': 2, 'needs': 2, 'talking': 2, 'ina': 2, 'mention': 2, 'enjoy': 2, 'subjects': 2, 'straight': 2, 'required': 2, 'stop': 2, 'h': 2, 'python': 2, 'holy': 2, 'build': 2, 'balance': 2, 'sales': 2, 'creative': 2, 'field': 2, 'senior': 2, 'insurance': 2, 'writing': 2, 'manuscript': 2, 'following': 2, 'sub': 2, 'guess': 2, 'single': 2, 'mostly': 2, 'magic': 2, 'aside': 2, 'asking': 2, 'finish': 2, 'comments': 2, 'portfolio': 2, 'portfolios': 2, 'analytical': 2, 'industry': 2, 'apply': 2, 'team': 2, 'business': 2, 'multi': 2, 'platforms': 2, 'maintain': 2, 'deep': 2, 'dive': 2, 'publications': 2, 'needed': 2, 'knowledge': 2, 'solve': 2, 'effort': 2, 'investment': 2, 'equity': 2, 'income': 2, 'knew': 2, 'basically': 2, 'expected': 2, 'cook': 2, 'married': 2, 'vacation': 2, 'outside': 2, 'ricky': 2, 'montgomery': 2, 'exist': 2, 'bills': 2, 'medium': 2, 'space': 2, 'grey': 2, 'lights': 2, 'star': 2, 'systems': 2, 'bound': 2, 'sense': 2, 'shock': 2, 'ebony': 2, 'elrindir': 2, 'merchant': 2, 'stamina': 2, 'enchants': 2, 'utility': 2, 'dual': 2, 'enchanting': 2, 'fire': 2, 'medicine': 2, 'school': 2, 'series': 2, 'author': 2, 'professor': 2, 'disease': 2, 'journal': 2, 'birth': 2, 'natural': 2, 'fresh': 2, 'lore': 2, 'drinking': 2, 'eating': 2, 'suddenly': 2, 'googling': 2, 'rely': 2, 'goals': 2, 'lh': 2, 'clearly': 2, 'sound': 2, 'obvious': 2, 'spiral': 2, 'proceed': 2, 'spend': 2, 'exact': 2, 'perfect': 2, 'head': 2, 'error': 2, 'approached': 2, 'refrain': 2, 'spending': 2, 'eleanor': 2, 'roosevelt': 2, 'mistakes': 2, 'tr': 2, 'become': 2, 'creating': 2, 'coincidentally': 2, 'younger': 2, 'businesses': 2, 'mean': 2, 'option': 2, 'heard': 2, 'machine': 2, 'scale': 2, 'tried': 2, 'night': 2, 'anymore': 2, 'charge': 2, 'quite': 2, 'science': 2, 'stuff': 2, 'rey': 2, 'theory': 2, 'software': 2, 'lots': 2, 'focus': 2, 'award': 2, 'available': 2, 'wanted': 2, 'reading': 2, 'hank': 2, 'piece': 2, 'bill': 2, 'vv': 2, 'date': 2, 'bedroom': 2, 'name': 2, 'interview': 2, 'book': 2, 'detailed': 2, 'huge': 2, 'whole': 2, 'recommended': 2, 'practice': 2, 'difficulty': 2, 'questions': 2, 'idea': 2, 'eventually': 2, 'cold': 2, 'looked': 2, 'co': 2, 'alphazero': 2, 'chess': 2, 'play': 2, 'deepmind': 2, 'proceeded': 2, 'beat': 2, 'top': 2, 'engine': 2, 'particularly': 2, 'wins': 2, 'engines': 2, 'tend': 2, 'run': 2, 'assess': 2, 'board': 2, 'move': 2, 'chosen': 2, 'millions': 2, 'moves': 2, 'decide': 2, 'parameters': 2, 'direct': 2, 'playstyle': 2, 'seeing': 2, 'quantifiable': 2, 'position': 2, 'numerous': 2, 'masters': 2, 'style': 2, 'means': 2, 'developed': 2, 'understanding': 2, 'scary': 2, 'sad': 2, 'daughter': 2, 'received': 2, 'wife': 2, 'left': 2, 'dealing': 2, 'drive': 2, 'picture': 2, 'birthday': 2, 'quest': 2, 'shall': 2, 'toniprufrock': 2, 'essentially': 2, 'group': 2, 'refused': 2, 'whatnot': 2, 'reload': 2, 'anyone': 2, 'tips': 2, 'www': 2, 'angela': 2, 'lte': 2, 'third': 2, 'lives': 2, 'called': 2, 'along': 2, 'born': 2, 'organization': 2, 'dad': 2, 'milk': 2, 'fact': 2, 'song': 2, 'says': 2, 'mr': 2, 'model': 2, 'modern': 2, 'wearing': 2, 'show': 2, 'carrots': 2, 'onion': 2, 'place': 2, 'veggies': 2, 'size': 2, 'minute': 2, 'goes': 2, 'month': 2, 'sale': 2, 'today': 2, 'number': 2, 'proof': 2, 'items': 2, 'fully': 2, 'thank': 2, 'seen': 2, 'company': 2, 'free': 2, 'results': 2, 'dollar': 2, 'awesome': 2, 'block': 2, 'recommendations': 2, 'analysis': 2, 'engineer': 2, 'oct': 2, 'pm': 2, 'eo': 2, 'yellowknife': 2, 'arsenic': 2, 'kill': 2, 'amount': 2, 'infrastructure': 2, 'empurpledprose': 2, 'terestine': 2, 'terrifying': 2, 'repost': 2, 'directly': 2, 'underneath': 2, 'city': 2, 'northwest': 2, 'territories': 2, 'canada': 2, 'quarter': 2, 'tons': 2, 'trioxide': 2, 'remain': 2, 'frozen': 2, 'cooling': 2, 'technology': 2, 'order': 2, 'leak': 2, 'potentially': 2, 'incredible': 2, 'carcinogen': 2, 'tailings': 2, 'depleted': 2, 'giant': 2, 'sixty': 2, 'operation': 2, 'oh': 2, 'didja': 2, 'extremely': 2, 'soluble': 2, 'pro': 2, 'rata': 2, 'ground': 2, 'permafrost': 2, 'crumbling': 2, 'fails': 2, 'catastrophically': 2, 'due': 2, 'hi': 2, 'worth': 2, 'ryan': 2, 'alternate': 2, 'shine': 1, 'line': 1, 'white': 1, 'prism': 1, 'spectrum': 1, 'red': 1, 'green': 1, 'window': 1, 'hangers': 1, 'rainbows': 1, 'refracting': 1, 'dispersing': 1, 'sunlight': 1, 'bright': 1, 'zenhabits': 1, 'lightfiend': 1, 'feelings': 1, 'emotions': 1, 'automatically': 1, 'distances': 1, 'enables': 1, 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1, 'acne': 1, 'thinned': 1, 'suffering': 1, 'asap': 1, 'bald': 1, 'lines': 1, 'embarrassing': 1, 'drank': 1, 'jock': 1, 'itch': 1, 'lotrimin': 1, 'af': 1, 'normally': 1, 'caused': 1, 'infection': 1, 'neosporin': 1, 'topical': 1, 'ultra': 1, 'butenafine': 1, 'helped': 1, 'otc': 1, 'clotrimazole': 1, 'mycelex': 1, 'miconazole': 1, 'micatin': 1, 'zeasorb': 1, 'tolnaftate': 1, 'aftate': 1, 'tinactin': 1, 'readers': 1, 'column': 1, 'report': 1, 'cleanser': 1, 'cetaphil': 1, 'chronic': 1, 'soothing': 1, 'capital': 1, 'unit': 1, 'background': 1, 'culture': 1, 'rigorous': 1, 'associates': 1, 'term': 1, 'funds': 1, 'ef': 1, 'location': 1, 'los': 1, 'angeles': 1, 'collegial': 1, 'honest': 1, 'intellectually': 1, 'member': 1, 'ofateam': 1, 'hallmark': 1, 'philosophy': 1, 'overriding': 1, 'whether': 1, 'regarding': 1, 'management': 1, 'stewardship': 1, 'built': 1, 'foundation': 1, 'shared': 1, 'values': 1, 'influence': 1, 'decision': 1, 'interact': 1, 'clients': 1, 'investors': 1, 'another': 1, 'integrity': 1, 'accountability': 1, 'collaboration': 1, 'humility': 1, 'consistency': 1, 'respect': 1, 'responsible': 1, 'performing': 1, 'include': 1, 'limited': 1, 'american': 1, 'fund': 1, 'target': 1, 'pcs': 1, 'institutional': 1, 'overseen': 1, 'react': 1, 'stephen': 1, 'grider': 1, 'dev': 1, 'redux': 1, 'courses': 1, 'explains': 1, 'mo': 1, 'vultesiupiilviavii': 1, 'cii': 1, 'professional': 1, 'developer': 1, 'contract': 1, 'freelancer': 1, 'moved': 1, 'engineering': 1, 'refresher': 1, 'insanely': 1, 'node': 1, 'memorizing': 1, 'talks': 1, 'advanced': 1, 'css': 1, 'html': 1, 'general': 1, 'intro': 1, 'confident': 1, 'thorough': 1, 'hooks': 1, 'section': 1, 'starts': 1, 'funky': 1, 'wants': 1, 'broken': 1, 'fail': 1, 'practices': 1, 'honestly': 1, 'hire': 1, 'junior': 1, 'projects': 1, 'check': 1, 'curriculums': 1, 'courseson': 1, 'rallycoding': 1, 'elliot': 1, 'protective': 1, 'watcher': 1, 'hello': 1, 'personalities': 1, 'sam': 1, 'scenes': 1, 'robot': 1, 'scarf': 1, 'hat': 1, 'mode': 1, 'fake': 1, 'whiterose': 1, 'project': 1, 'stein': 1, 'sgate': 1, 'type': 1, 'travel': 1, 'westworld': 1, 'interest': 1, 'stealing': 1, 'timelines': 1, 'dimensions': 1, 'interviewed': 1, 'beleiving': 1, 'philip': 1, 'price': 1, 'willing': 1, 'sacrifice': 1, 'tl': 1, 'dr': 1, 'alter': 1, 'quote': 1, 'hear': 1, 'entire': 1, 'assuming': 1, 'created': 1, 'watching': 1, 'screen': 1, 'assumption': 1, 'whichever': 1, 'elliott': 1, 'esmail': 1, 'thinks': 1, 'perspective': 1, 'narration': 1, 'meta': 1, 'bravo': 1, 'rachel': 1, 'fallout': 1, 'alosio': 1, 'deacon': 1, 'actor': 1, 'fandom': 1, 'wiki': 1, 'wf': 1, 'voice': 1, 'maps': 1, 'voiced': 1, 'powered': 1, 'wikia': 1})
# 1. create a frequen