via this tutorial |10-6-19
from textblob import TextBlob
from IPython.display import display, HTML
import os
import pandas as pd
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sid = SentimentIntensityAnalyzer()
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
neg_k = get_data_from_files('AI_NEG/')
pos_k = get_data_from_files('AI_POS/')
neg_a = get_data_from_files('NEG/')
pos_a = get_data_from_files('POS/')
def get_pn(num):
return 'neg' if num < 0 else 'pos'
def get_sentiment(array, label):
blobs = [[TextBlob(text), text] for text in array]
return ([{'label': label,
'prediction': get_pn(obj.sentiment.polarity),
'sentiment': obj.sentiment.polarity,
'length': len(text),
'excerpt': text[:50]} for obj,text in blobs])
display(pd.DataFrame(get_sentiment(neg_k, 'neg')))
display(pd.DataFrame(get_sentiment(pos_k, 'pos')))
| label | prediction | sentiment | length | excerpt | |
|---|---|---|---|---|---|
| 0 | neg | neg | -0.157143 | 76 | WHERE ARE THE JOBS?! OH THAT'S RIGHT. ARTIFICI... |
| 1 | neg | neg | -0.750000 | 96 | How can we trust Artificial Intelligence to dr... |
| 2 | neg | neg | -0.775000 | 31 | I hate artificial intelligence! |
| 3 | neg | neg | -0.750000 | 47 | My dog is terrified by artificial intelligence! |
| 4 | neg | neg | -0.750000 | 68 | Artificial intelligence is going to melt the b... |
| label | prediction | sentiment | length | excerpt | |
|---|---|---|---|---|---|
| 0 | pos | neg | -0.112500 | 65 | My dog is excited by the advancements in artif... |
| 1 | pos | neg | -0.075000 | 133 | I'm excited for my child to grow up and have t... |
| 2 | pos | neg | -0.125000 | 31 | I love artificial intelligence! |
| 3 | pos | neg | -0.300000 | 121 | Order my groceries, pay my taxes, take my kids... |
| 4 | pos | neg | -0.133333 | 116 | I'm grateful every day that my child will like... |
display(pd.DataFrame(get_sentiment(neg_a, 'neg')))
display(pd.DataFrame(get_sentiment(pos_a, 'pos')))
| label | prediction | sentiment | length | excerpt | |
|---|---|---|---|---|---|
| 0 | neg | neg | -0.054577 | 3554 | that's exactly how long the movie felt to me .... |
| 1 | neg | pos | 0.025467 | 2929 | " quest for camelot " is warner bros . ' firs... |
| 2 | neg | pos | 0.003334 | 3365 | so ask yourself what " 8mm " ( " eight millime... |
| 3 | neg | pos | 0.022925 | 4418 | synopsis : a mentally unstable man undergoing ... |
| 4 | neg | pos | 0.043234 | 3911 | capsule : in 2176 on the planet mars police ta... |
| label | prediction | sentiment | length | excerpt | |
|---|---|---|---|---|---|
| 0 | pos | pos | 0.023663 | 4227 | films adapted from comic books have had plenty... |
| 1 | pos | pos | 0.131092 | 2421 | you've got mail works alot better than it dese... |
| 2 | pos | pos | 0.110626 | 6092 | " jaws " is a rare film that grabs your atten... |
| 3 | pos | pos | 0.103847 | 4096 | every now and then a movie comes along from a ... |
| 4 | pos | neg | -0.070151 | 3898 | moviemaking is a lot like being the general ma... |
def get_vader_scores(array, label):
vader_array = []
for sentence in array:
ss = sid.polarity_scores(sentence)
vader_array.append({'label': label, 'compound': ss['compound'], 'excerpt': sentence[:50]})
return vader_array
display(pd.DataFrame(get_vader_scores(neg_k, 'neg')))
display(pd.DataFrame(get_vader_scores(pos_k, 'pos')))
| label | compound | excerpt | |
|---|---|---|---|
| 0 | neg | 0.5255 | WHERE ARE THE JOBS?! OH THAT'S RIGHT. ARTIFICI... |
| 1 | neg | 0.7712 | How can we trust Artificial Intelligence to dr... |
| 2 | neg | -0.2244 | I hate artificial intelligence! |
| 3 | neg | -0.2942 | My dog is terrified by artificial intelligence! |
| 4 | neg | 0.5255 | Artificial intelligence is going to melt the b... |
| label | compound | excerpt | |
|---|---|---|---|
| 0 | pos | 0.6705 | My dog is excited by the advancements in artif... |
| 1 | pos | 0.8271 | I'm excited for my child to grow up and have t... |
| 2 | pos | 0.8221 | I love artificial intelligence! |
| 3 | pos | 0.8213 | Order my groceries, pay my taxes, take my kids... |
| 4 | pos | 0.8402 | I'm grateful every day that my child will like... |
display(pd.DataFrame(get_vader_scores(neg_a, 'neg')))
display(pd.DataFrame(get_vader_scores(pos_a, 'pos')))
| label | compound | excerpt | |
|---|---|---|---|
| 0 | neg | 0.7836 | that's exactly how long the movie felt to me .... |
| 1 | neg | -0.8481 | " quest for camelot " is warner bros . ' firs... |
| 2 | neg | -0.9753 | so ask yourself what " 8mm " ( " eight millime... |
| 3 | neg | 0.6824 | synopsis : a mentally unstable man undergoing ... |
| 4 | neg | -0.9879 | capsule : in 2176 on the planet mars police ta... |
| label | compound | excerpt | |
|---|---|---|---|
| 0 | pos | -0.5887 | films adapted from comic books have had plenty... |
| 1 | pos | 0.9964 | you've got mail works alot better than it dese... |
| 2 | pos | 0.9868 | " jaws " is a rare film that grabs your atten... |
| 3 | pos | 0.8825 | every now and then a movie comes along from a ... |
| 4 | pos | -0.3525 | moviemaking is a lot like being the general ma... |
from nltk.classify import NaiveBayesClassifier
from nltk.tokenize import word_tokenize
from nltk.sentiment import SentimentAnalyzer
from nltk.sentiment.util import *
def get_tokens(sentence):
tokens = word_tokenize(sentence)
clean_tokens = [word.lower() for word in tokens if word.isalpha()]
return clean_tokens
# neg_tokens = [get_tokens(sentence) for sentence in neg_k]
# pos_tokens = [get_tokens(sentence) for sentence in pos_k]
neg_tokens = [get_tokens(sentence) for sentence in neg_a]
pos_tokens = [get_tokens(sentence) for sentence in pos_a]
# Add labels
neg_docs = [(sent, 'neg') for sent in neg_tokens]
pos_docs = [(sent, 'pos') for sent in pos_tokens]
# Create train and test set
train_neg_docs = neg_docs[:4]
test_neg_docs = neg_docs[4:5]
train_pos_docs = pos_docs[:4]
test_pos_docs = pos_docs[4:5]
# Combine test and train sets
training_docs = train_neg_docs + train_pos_docs
testing_docs = test_neg_docs + test_pos_docs
# Use Sentiment Analyzer to mark negation in training docs
sentim_analyzer = SentimentAnalyzer()
all_words_neg = sentim_analyzer.all_words([mark_negation(doc) for doc in training_docs])
# Use unigram_word_feats to get unigram features
unigram_feats = sentim_analyzer.unigram_word_feats(all_words_neg)
len(unigram_feats)
1916
# Use add_feat-extractor & apply to both training and testing set
sentim_analyzer.add_feat_extractor(extract_unigram_feats, unigrams=unigram_feats)
training_set = sentim_analyzer.apply_features(training_docs)
training_set[:1]
[({'contains(the_NEG)': False, 'contains(a_NEG)': False, 'contains(and_NEG)': False, 'contains(of_NEG)': False, 'contains(is_NEG)': False, 'contains(to_NEG)': False, 'contains(in_NEG)': False, 'contains(it_NEG)': False, 'contains(that_NEG)': False, 'contains(as_NEG)': False, 'contains(on_NEG)': False, 'contains(with_NEG)': False, 'contains(but_NEG)': False, 'contains(the)': True, 'contains(for_NEG)': False, 'contains(a)': True, 'contains(by_NEG)': False, 'contains(he_NEG)': False, 'contains(an_NEG)': False, 'contains(from_NEG)': False, 'contains(this_NEG)': False, 'contains(his_NEG)': False, 'contains(so_NEG)': False, 'contains(all_NEG)': False, 'contains(her_NEG)': False, 'contains(be_NEG)': False, 'contains(not_NEG)': False, 'contains(like_NEG)': False, 'contains(film_NEG)': False, 'contains(you_NEG)': False, 'contains(who_NEG)': False, 'contains(even_NEG)': False, 'contains(are_NEG)': False, 'contains(of)': True, 'contains(i_NEG)': False, 'contains(to)': True, 'contains(at_NEG)': False, 'contains(about_NEG)': False, 'contains(shark_NEG)': False, 'contains(has_NEG)': False, 'contains(in)': True, 'contains(when_NEG)': False, 'contains(do_NEG)': False, 'contains(one_NEG)': False, 'contains(other_NEG)': False, 'contains(movie_NEG)': False, 'contains(they_NEG)': False, 'contains(is)': True, 'contains(its_NEG)': False, 'contains(and)': True, 'contains(more_NEG)': False, 'contains(was_NEG)': False, 'contains(because_NEG)': False, 'contains(grant_NEG)': False, 'contains(have_NEG)': False, 'contains(no_NEG)': False, 'contains(does_NEG)': False, 'contains(only_NEG)': False, 'contains(much_NEG)': False, 'contains(time_NEG)': False, 'contains(there_NEG)': False, 'contains(stalked_NEG)': False, 'contains(it)': True, 'contains(most_NEG)': False, 'contains(over_NEG)': False, 'contains(into_NEG)': False, 'contains(had_NEG)': False, 'contains(been_NEG)': False, 'contains(or_NEG)': False, 'contains(see_NEG)': False, 'contains(what_NEG)': False, 'contains(me_NEG)': False, 'contains(just_NEG)': False, 'contains(we_NEG)': False, 'contains(course_NEG)': False, 'contains(then_NEG)': False, 'contains(if_NEG)': False, 'contains(story_NEG)': False, 'contains(though_NEG)': False, 'contains(than_NEG)': False, 'contains(that)': True, 'contains(whole_NEG)': False, 'contains(she_NEG)': False, 'contains(up_NEG)': False, 'contains(right_NEG)': False, 'contains(gets_NEG)': False, 'contains(them_NEG)': False, 'contains(first_NEG)': False, 'contains(daryl_NEG)': False, 'contains(jaws_NEG)': False, 'contains(really_NEG)': False, 'contains(plays_NEG)': False, 'contains(year_NEG)': False, 'contains(out_NEG)': False, 'contains(book_NEG)': False, 'contains(their_NEG)': False, 'contains(here_NEG)': False, 'contains(can_NEG)': False, 'contains(enough_NEG)': False, 'contains(good_NEG)': False, 'contains(about)': False, 'contains(films_NEG)': False, 'contains(film)': False, 'contains(actually_NEG)': False, 'contains(stalker_NEG)': False, 'contains(brooke_NEG)': False, 'contains(how_NEG)': False, 'contains(performance_NEG)': False, 'contains(us_NEG)': False, 'contains(shaw_NEG)': False, 'contains(thing_NEG)': False, 'contains(since_NEG)': False, 'contains(nervous_NEG)': False, 'contains(bad_NEG)': False, 'contains(big_NEG)': False, 'contains(plot_NEG)': False, 'contains(could_NEG)': False, 'contains(my_NEG)': False, 'contains(which_NEG)': False, 'contains(many_NEG)': False, 'contains(get_NEG)': False, 'contains(played_NEG)': False, 'contains(interesting_NEG)': False, 'contains(character_NEG)': False, 'contains(after_NEG)': False, 'contains(say_NEG)': False, 'contains(look_NEG)': False, 'contains(know_NEG)': False, 'contains(from)': True, 'contains(around_NEG)': False, 'contains(something_NEG)': False, 'contains(place_NEG)': False, 'contains(makes_NEG)': False, 'contains(never_NEG)': False, 'contains(little_NEG)': False, 'contains(with)': True, 'contains(seems_NEG)': False, 'contains(hell_NEG)': False, 'contains(campbell_NEG)': False, 'contains(new_NEG)': False, 'contains(spielberg_NEG)': False, 'contains(act_NEG)': False, 'contains(brody_NEG)': False, 'contains(movie)': True, 'contains(there)': True, 'contains(annoying_NEG)': False, 'contains(acting_NEG)': False, 'contains(scene_NEG)': False, 'contains(months_NEG)': False, 'contains(hugh_NEG)': False, 'contains(too_NEG)': False, 'contains(audience_NEG)': False, 'contains(while_NEG)': False, 'contains(none_NEG)': False, 'contains(such_NEG)': False, 'contains(where_NEG)': False, 'contains(your_NEG)': False, 'contains(did_NEG)': False, 'contains(another_NEG)': False, 'contains(goes_NEG)': False, 'contains(certainly_NEG)': False, 'contains(will_NEG)': False, 'contains(money_NEG)': False, 'contains(no)': True, 'contains(fox_NEG)': False, 'contains(production_NEG)': False, 'contains(quest_NEG)': False, 'contains(kayley_NEG)': False, 'contains(footage_NEG)': False, 'contains(end_NEG)': False, 'contains(who)': True, 'contains(sick)': False, 'contains(schumacher_NEG)': False, 'contains(better_NEG)': False, 'contains(two_NEG)': False, 'contains(life_NEG)': False, 'contains(welles_NEG)': False, 'contains(rather_NEG)': False, 'contains(him_NEG)': False, 'contains(home_NEG)': False, 'contains(yet_NEG)': False, 'contains(then)': True, 'contains(they)': True, 'contains(affair_NEG)': False, 'contains(called_NEG)': False, 'contains(bit_NEG)': False, 'contains(turns_NEG)': False, 'contains(however_NEG)': False, 'contains(house_NEG)': False, 'contains(several_NEG)': False, 'contains(have)': True, 'contains(comic_NEG)': False, 'contains(both_NEG)': False, 'contains(identity_NEG)': False, 'contains(until_NEG)': False, 'contains(great_NEG)': False, 'contains(relationship_NEG)': False, 'contains(tension_NEG)': False, 'contains(hooper_NEG)': False, 'contains(significant_NEG)': False, 'contains(were)': True, 'contains(even)': True, 'contains(man)': True, 'contains(not)': True, 'contains(talking_NEG)': False, 'contains(smiles_NEG)': False, 'contains(pass_NEG)': False, 'contains(slapstick_NEG)': False, 'contains(head_NEG)': False, 'contains(robin_NEG)': False, 'contains(williams_NEG)': False, 'contains(pregnant_NEG)': False, 'contains(comedy_NEG)': False, 'contains(nine_NEG)': False, 'contains(humor_NEG)': False, 'contains(why_NEG)': False, 'contains(asshole_NEG)': False, 'contains(accent_NEG)': False, 'contains(jokes_NEG)': False, 'contains(ten_NEG)': False, 'contains(way_NEG)': False, 'contains(tom_NEG)': False, 'contains(should_NEG)': False, 'contains(old_NEG)': False, 'contains(now_NEG)': False, 'contains(complete_NEG)': False, 'contains(high_NEG)': False, 'contains(may_NEG)': False, 'contains(wo_NEG)': False, 'contains(leave_NEG)': False, 'contains(least_NEG)': False, 'contains(for)': True, 'contains(reason_NEG)': False, 'contains(camelot_NEG)': False, 'contains(arthur_NEG)': False, 'contains(any_NEG)': False, 'contains(find_NEG)': False, 'contains(few_NEG)': False, 'contains(scenes_NEG)': False, 'contains(through_NEG)': False, 'contains(probably_NEG)': False, 'contains(very_NEG)': False, 'contains(long_NEG)': False, 'contains(people)': True, 'contains(or)': True, 'contains(films)': False, 'contains(snuff_NEG)': False, 'contains(found_NEG)': False, 'contains(husband_NEG)': False, 'contains(murder_NEG)': False, 'contains(almost_NEG)': False, 'contains(paul_NEG)': False, 'contains(taking_NEG)': False, 'contains(quite_NEG)': False, 'contains(adult_NEG)': False, 'contains(max_NEG)': False, 'contains(again_NEG)': False, 'contains(way)': True, 'contains(be)': False, 'contains(stars_NEG)': False, 'contains(psycho_NEG)': False, 'contains(opening_NEG)': False, 'contains(men_NEG)': False, 'contains(screen_NEG)': False, 'contains(these_NEG)': False, 'contains(before_NEG)': False, 'contains(obvious_NEG)': False, 'contains(tries_NEG)': False, 'contains(genre_NEG)': False, 'contains(between_NEG)': False, 'contains(anything_NEG)': False, 'contains(creepy_NEG)': False, 'contains(star_NEG)': False, 'contains(times_NEG)': False, 'contains(strong_NEG)': False, 'contains(door_NEG)': False, 'contains(success)': False, 'contains(moore_NEG)': False, 'contains(ripper_NEG)': False, 'contains(police_NEG)': False, 'contains(made_NEG)': False, 'contains(make_NEG)': False, 'contains(sense_NEG)': False, 'contains(love_NEG)': False, 'contains(you)': True, 'contains(involved_NEG)': False, 'contains(shop_NEG)': False, 'contains(were_NEG)': False, 'contains(each_NEG)': False, 'contains(entire_NEG)': False, 'contains(outstanding_NEG)': False, 'contains(second_NEG)': False, 'contains(scheider_NEG)': False, 'contains(island_NEG)': False, 'contains(vaughn_NEG)': False, 'contains(summer_NEG)': False, 'contains(dreyfuss_NEG)': False, 'contains(quint_NEG)': False, 'contains(robert_NEG)': False, 'contains(orca_NEG)': False, 'contains(sharks_NEG)': False, 'contains(caught_NEG)': False, 'contains(different_NEG)': False, 'contains(every)': True, 'contains(high)': True, 'contains(tracy_NEG)': False, 'contains(extraordinary_NEG)': False, 'contains(school_NEG)': False, 'contains(broderick_NEG)': False, 'contains(witherspoon_NEG)': False, 'contains(mr_NEG)': False, 'contains(how)': True, 'contains(nine)': True, 'contains(terrible)': True, 'contains(mess)': True, 'contains(starring)': True, 'contains(mr)': True, 'contains(referring_NEG)': False, 'contains(fact_NEG)': False, 'contains(flutters_NEG)': False, 'contains(paid_NEG)': False, 'contains(included_NEG)': False, 'contains(tells_NEG)': False, 'contains(girlfriend_NEG)': False, 'contains(cat_NEG)': False, 'contains(exchange_NEG)': False, 'contains(predictable_NEG)': False, 'contains(successful_NEG)': False, 'contains(child_NEG)': False, 'contains(unfunny_NEG)': False, 'contains(kid_NEG)': False, 'contains(dad_NEG)': False, 'contains(eyelashes_NEG)': False, 'contains(smile_NEG)': False, 'contains(talent_NEG)': False, 'contains(elaborate_NEG)': False, 'contains(point_NEG)': False, 'contains(includes_NEG)': False, 'contains(laughs_NEG)': False, 'contains(olds_NEG)': False, 'contains(else_NEG)': False, 'contains(disbelief_NEG)': False, 'contains(every_NEG)': False, 'contains(equally_NEG)': False, 'contains(friend_NEG)': False, 'contains(wife_NEG)': False, 'contains(also_NEG)': False, 'contains(arnold_NEG)': False, 'contains(funny_NEG)': False, 'contains(draw_NEG)': False, 'contains(store_NEG)': False, 'contains(away_NEG)': False, 'contains(someone_NEG)': False, 'contains(take_NEG)': False, 'contains(adults_NEG)': False, 'contains(intelligence_NEG)': False, 'contains(people_NEG)': False, 'contains(forced_NEG)': False, 'contains(anyone_NEG)': False, 'contains(first)': False, 'contains(but)': True, 'contains(worried_NEG)': False, 'contains(recent_NEG)': False, 'contains(fall_NEG)': False, 'contains(disney_NEG)': False, 'contains(cast_NEG)': False, 'contains(crown_NEG)': False, 'contains(best_NEG)': False, 'contains(animation_NEG)': False, 'contains(dead_NEG)': False, 'contains(arrival_NEG)': False, 'contains(keeping_NEG)': False, 'contains(nearly_NEG)': False, 'contains(table_NEG)': False, 'contains(father_NEG)': False, 'contains(help_NEG)': False, 'contains(garrett_NEG)': False, 'contains(dragon_NEG)': False, 'contains(always_NEG)': False, 'contains(itself_NEG)': False, 'contains(might_NEG)': False, 'contains(missing_NEG)': False, 'contains(pure_NEG)': False, 'contains(ever_NEG)': False, 'contains(nothing_NEG)': False, 'contains(rest_NEG)': False, 'contains(case_NEG)': False, 'contains(becomes_NEG)': False, 'contains(win_NEG)': False, 'contains(television_NEG)': False, 'contains(white_NEG)': False, 'contains(same_NEG)': False, 'contains(actors_NEG)': False, 'contains(sound_NEG)': False, 'contains(must_NEG)': False, 'contains(strain_NEG)': False, 'contains(mess_NEG)': False, 'contains(children_NEG)': False, 'contains(bored_NEG)': False, 'contains(lack_NEG)': False, 'contains(personality_NEG)': False, 'contains(so)': True, 'contains(all)': False, 'contains(his)': True, 'contains(world)': False, 'contains(order)': False, 'contains(their)': True, 'contains(those)': False, 'contains(are)': False, 'contains(being_NEG)': False, 'contains(movies_NEG)': False, 'contains(batman_NEG)': False, 'contains(want_NEG)': False, 'contains(threatening_NEG)': False, 'contains(violence_NEG)': False, 'contains(think_NEG)': False, 'contains(finally_NEG)': False, 'contains(unpleasant_NEG)': False, 'contains(down_NEG)': False, 'contains(nicolas_NEG)': False, 'contains(eyes_NEG)': False, 'contains(cage_NEG)': False, 'contains(late_NEG)': False, 'contains(young_NEG)': False, 'contains(girl_NEG)': False, 'contains(easy_NEG)': False, 'contains(subject_NEG)': False, 'contains(show_NEG)': False, 'contains(hollywood_NEG)': False, 'contains(lot_NEG)': False, 'contains(face_NEG)': False, 'contains(horror_NEG)': False, 'contains(offensive_NEG)': False, 'contains(revelation_NEG)': False, 'contains(neither_NEG)': False, 'contains(boy)': False, 'contains(her)': True, 'contains(which)': True, 'contains(fact)': 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'contains(critical)': False, 'contains(darling)': False, 'contains(mtv)': False, 'contains(comedy)': True, 'contains(current)': False, 'contains(example)': False, 'contains(did)': True, 'contains(anybody)': False, 'contains(know)': True, 'contains(existed)': False, 'contains(week)': False, 'contains(opened)': False, 'contains(plot)': True, 'contains(deceptively)': False, 'contains(simple)': False, 'contains(george)': False, 'contains(washington)': False, 'contains(carver)': False, 'contains(having)': False, 'contains(elections)': False, 'contains(tracy)': False, 'contains(flick)': False, 'contains(an)': True, 'contains(hand)': True, 'contains(raised)': False, 'contains(at)': True, 'contains(nearly)': False, 'contains(question)': False, 'contains(m)': False, 'contains(megalomaniac)': False, 'contains(encourages)': False, 'contains(jock)': False, 'contains(run)': False, 'contains(nihilistic)': False, 'contains(sister)': False, 'contains(jumps)': False, 'contains(race)': False, 'contains(as)': True, 'contains(well)': False, 'contains(personal)': False, 'contains(reasons)': False, 'contains(dark)': False, 'contains(side)': False, 'contains(such)': True, 'contains(sleeper)': False, 'contains(because)': False, 'contains(expectations)': False, 'contains(low)': True, 'contains(quality)': False, 'contains(stuff)': False, 'contains(made)': False, 'contains(more)': True, 'contains(enthusiastic)': False, 'contains(any)': False, 'contains(right)': True, 'contains(ca)': False, 'contains(help)': False, 'contains(glowing)': False, 'contains(contrast)': False, 'contains(negative)': False, 'contains(reviewers)': False, 'contains(likely)': False, 'contains(good)': False, 'contains(does)': True, 'contains(live_NEG)': False, 'contains(hype_NEG)': False, 'contains(disappointing_NEG)': False, 'contains(details_NEG)': False, 'contains(lifted_NEG)': False, 'contains(directly_NEG)': False, 'contains(released_NEG)': False, 'contains(earlier_NEG)': False, 'contains(staggering_NEG)': False, 'contains(matthew_NEG)': False, 'contains(sting_NEG)': False, 'contains(bill_NEG)': False, 'contains(stings_NEG)': False, 'contains(happened_NEG)': False, 'contains(individual_NEG)': False, 'contains(screenplay_NEG)': False, 'contains(contain_NEG)': False, 'contains(points_NEG)': False, 'contains(aware_NEG)': False, 'contains(geeks_NEG)': False, 'contains(revenge_NEG)': False, 'contains(fully_NEG)': False, 'contains(formed_NEG)': False, 'contains(strengths_NEG)': False, 'contains(performances_NEG)': False, 'contains(newcomer_NEG)': False, 'contains(jessica_NEG)': False, 'contains(sister_NEG)': False, 'contains(tammy_NEG)': False, 'contains(playing_NEG)': False, 'contains(rooney_NEG)': False, 'contains(role_NEG)': False, 'contains(fun_NEG)': False, 'contains(early_NEG)': False, 'contains(clout_NEG)': False, 'contains(deserves_NEG)': False, 'contains(nomination_NEG)': False, 'contains(speech_NEG)': False, 'contains(gymnasium_NEG)': False, 'contains(won_NEG)': False, 'contains(bothering_NEG)': False, 'contains(amount_NEG)': False, 'contains(suppose_NEG)': False, 'contains(coming_NEG)': False, 'contains(mtv_NEG)': False, 'contains(expect_NEG)': False, 'contains(less_NEG)': False, 'contains(off_NEG)': False, 'contains(light_NEG)': False, 'contains(airy_NEG)': False, 'contains(sitcom_NEG)': False, 'contains(screws_NEG)': False, 'contains(tighten_NEG)': False, 'contains(tensions_NEG)': False, 'contains(mount_NEG)': False, 'contains(alexander_NEG)': False, 'contains(payne_NEG)': False, 'contains(add_NEG)': False, 'contains(frankly_NEG)': False, 'contains(distract_NEG)': False, 'contains(determination_NEG)': False, 'contains(costs_NEG)': False, 'contains(throw_NEG)': False, 'contains(logical_NEG)': False, 'contains(tonal_NEG)': False, 'contains(nosedive_NEG)': False, 'contains(explicitly_NEG)': False, 'contains(mark_NEG)': False, 'contains(disappointment_NEG)': False}, 'neg')]
test_set = sentim_analyzer.apply_features(testing_docs)
test_set[:1]
[({'contains(the_NEG)': False, 'contains(a_NEG)': False, 'contains(and_NEG)': False, 'contains(of_NEG)': False, 'contains(is_NEG)': False, 'contains(to_NEG)': False, 'contains(in_NEG)': False, 'contains(it_NEG)': False, 'contains(that_NEG)': False, 'contains(as_NEG)': False, 'contains(on_NEG)': False, 'contains(with_NEG)': False, 'contains(but_NEG)': False, 'contains(the)': True, 'contains(for_NEG)': False, 'contains(a)': True, 'contains(by_NEG)': False, 'contains(he_NEG)': False, 'contains(an_NEG)': False, 'contains(from_NEG)': False, 'contains(this_NEG)': False, 'contains(his_NEG)': False, 'contains(so_NEG)': False, 'contains(all_NEG)': False, 'contains(her_NEG)': False, 'contains(be_NEG)': False, 'contains(not_NEG)': False, 'contains(like_NEG)': False, 'contains(film_NEG)': False, 'contains(you_NEG)': False, 'contains(who_NEG)': False, 'contains(even_NEG)': False, 'contains(are_NEG)': False, 'contains(of)': True, 'contains(i_NEG)': False, 'contains(to)': True, 'contains(at_NEG)': False, 'contains(about_NEG)': False, 'contains(shark_NEG)': False, 'contains(has_NEG)': False, 'contains(in)': True, 'contains(when_NEG)': False, 'contains(do_NEG)': False, 'contains(one_NEG)': False, 'contains(other_NEG)': False, 'contains(movie_NEG)': False, 'contains(they_NEG)': False, 'contains(is)': True, 'contains(its_NEG)': False, 'contains(and)': True, 'contains(more_NEG)': False, 'contains(was_NEG)': False, 'contains(because_NEG)': False, 'contains(grant_NEG)': False, 'contains(have_NEG)': False, 'contains(no_NEG)': False, 'contains(does_NEG)': False, 'contains(only_NEG)': False, 'contains(much_NEG)': False, 'contains(time_NEG)': False, 'contains(there_NEG)': False, 'contains(stalked_NEG)': False, 'contains(it)': True, 'contains(most_NEG)': False, 'contains(over_NEG)': False, 'contains(into_NEG)': False, 'contains(had_NEG)': False, 'contains(been_NEG)': False, 'contains(or_NEG)': False, 'contains(see_NEG)': False, 'contains(what_NEG)': False, 'contains(me_NEG)': False, 'contains(just_NEG)': False, 'contains(we_NEG)': False, 'contains(course_NEG)': False, 'contains(then_NEG)': False, 'contains(if_NEG)': False, 'contains(story_NEG)': False, 'contains(though_NEG)': False, 'contains(than_NEG)': False, 'contains(that)': True, 'contains(whole_NEG)': False, 'contains(she_NEG)': False, 'contains(up_NEG)': False, 'contains(right_NEG)': False, 'contains(gets_NEG)': False, 'contains(them_NEG)': False, 'contains(first_NEG)': False, 'contains(daryl_NEG)': False, 'contains(jaws_NEG)': False, 'contains(really_NEG)': False, 'contains(plays_NEG)': False, 'contains(year_NEG)': False, 'contains(out_NEG)': False, 'contains(book_NEG)': False, 'contains(their_NEG)': False, 'contains(here_NEG)': False, 'contains(can_NEG)': False, 'contains(enough_NEG)': False, 'contains(good_NEG)': False, 'contains(about)': False, 'contains(films_NEG)': False, 'contains(film)': True, 'contains(actually_NEG)': False, 'contains(stalker_NEG)': False, 'contains(brooke_NEG)': False, 'contains(how_NEG)': False, 'contains(performance_NEG)': False, 'contains(us_NEG)': False, 'contains(shaw_NEG)': False, 'contains(thing_NEG)': False, 'contains(since_NEG)': False, 'contains(nervous_NEG)': False, 'contains(bad_NEG)': False, 'contains(big_NEG)': False, 'contains(plot_NEG)': False, 'contains(could_NEG)': False, 'contains(my_NEG)': False, 'contains(which_NEG)': False, 'contains(many_NEG)': False, 'contains(get_NEG)': False, 'contains(played_NEG)': False, 'contains(interesting_NEG)': False, 'contains(character_NEG)': False, 'contains(after_NEG)': False, 'contains(say_NEG)': False, 'contains(look_NEG)': False, 'contains(know_NEG)': False, 'contains(from)': True, 'contains(around_NEG)': False, 'contains(something_NEG)': False, 'contains(place_NEG)': False, 'contains(makes_NEG)': False, 'contains(never_NEG)': False, 'contains(little_NEG)': False, 'contains(with)': True, 'contains(seems_NEG)': False, 'contains(hell_NEG)': False, 'contains(campbell_NEG)': False, 'contains(new_NEG)': False, 'contains(spielberg_NEG)': False, 'contains(act_NEG)': False, 'contains(brody_NEG)': False, 'contains(movie)': True, 'contains(there)': True, 'contains(annoying_NEG)': False, 'contains(acting_NEG)': False, 'contains(scene_NEG)': False, 'contains(months_NEG)': False, 'contains(hugh_NEG)': False, 'contains(too_NEG)': False, 'contains(audience_NEG)': False, 'contains(while_NEG)': False, 'contains(none_NEG)': False, 'contains(such_NEG)': False, 'contains(where_NEG)': False, 'contains(your_NEG)': False, 'contains(did_NEG)': False, 'contains(another_NEG)': False, 'contains(goes_NEG)': False, 'contains(certainly_NEG)': False, 'contains(will_NEG)': False, 'contains(money_NEG)': False, 'contains(no)': True, 'contains(fox_NEG)': False, 'contains(production_NEG)': False, 'contains(quest_NEG)': False, 'contains(kayley_NEG)': False, 'contains(footage_NEG)': False, 'contains(end_NEG)': False, 'contains(who)': True, 'contains(sick)': False, 'contains(schumacher_NEG)': False, 'contains(better_NEG)': False, 'contains(two_NEG)': False, 'contains(life_NEG)': False, 'contains(welles_NEG)': False, 'contains(rather_NEG)': False, 'contains(him_NEG)': False, 'contains(home_NEG)': False, 'contains(yet_NEG)': False, 'contains(then)': True, 'contains(they)': True, 'contains(affair_NEG)': False, 'contains(called_NEG)': False, 'contains(bit_NEG)': False, 'contains(turns_NEG)': False, 'contains(however_NEG)': False, 'contains(house_NEG)': False, 'contains(several_NEG)': False, 'contains(have)': True, 'contains(comic_NEG)': False, 'contains(both_NEG)': False, 'contains(identity_NEG)': False, 'contains(until_NEG)': False, 'contains(great_NEG)': False, 'contains(relationship_NEG)': False, 'contains(tension_NEG)': False, 'contains(hooper_NEG)': False, 'contains(significant_NEG)': False, 'contains(were)': False, 'contains(even)': False, 'contains(man)': False, 'contains(not)': True, 'contains(talking_NEG)': False, 'contains(smiles_NEG)': False, 'contains(pass_NEG)': False, 'contains(slapstick_NEG)': False, 'contains(head_NEG)': False, 'contains(robin_NEG)': False, 'contains(williams_NEG)': False, 'contains(pregnant_NEG)': False, 'contains(comedy_NEG)': False, 'contains(nine_NEG)': False, 'contains(humor_NEG)': False, 'contains(why_NEG)': False, 'contains(asshole_NEG)': False, 'contains(accent_NEG)': False, 'contains(jokes_NEG)': False, 'contains(ten_NEG)': False, 'contains(way_NEG)': False, 'contains(tom_NEG)': False, 'contains(should_NEG)': False, 'contains(old_NEG)': False, 'contains(now_NEG)': False, 'contains(complete_NEG)': False, 'contains(high_NEG)': False, 'contains(may_NEG)': False, 'contains(wo_NEG)': False, 'contains(leave_NEG)': False, 'contains(least_NEG)': False, 'contains(for)': True, 'contains(reason_NEG)': False, 'contains(camelot_NEG)': False, 'contains(arthur_NEG)': False, 'contains(any_NEG)': False, 'contains(find_NEG)': False, 'contains(few_NEG)': False, 'contains(scenes_NEG)': False, 'contains(through_NEG)': False, 'contains(probably_NEG)': False, 'contains(very_NEG)': False, 'contains(long_NEG)': False, 'contains(people)': True, 'contains(or)': False, 'contains(films)': True, 'contains(snuff_NEG)': False, 'contains(found_NEG)': False, 'contains(husband_NEG)': False, 'contains(murder_NEG)': False, 'contains(almost_NEG)': False, 'contains(paul_NEG)': False, 'contains(taking_NEG)': False, 'contains(quite_NEG)': False, 'contains(adult_NEG)': False, 'contains(max_NEG)': False, 'contains(again_NEG)': False, 'contains(way)': True, 'contains(be)': True, 'contains(stars_NEG)': False, 'contains(psycho_NEG)': False, 'contains(opening_NEG)': False, 'contains(men_NEG)': False, 'contains(screen_NEG)': False, 'contains(these_NEG)': False, 'contains(before_NEG)': False, 'contains(obvious_NEG)': False, 'contains(tries_NEG)': False, 'contains(genre_NEG)': False, 'contains(between_NEG)': False, 'contains(anything_NEG)': False, 'contains(creepy_NEG)': False, 'contains(star_NEG)': False, 'contains(times_NEG)': False, 'contains(strong_NEG)': False, 'contains(door_NEG)': False, 'contains(success)': False, 'contains(moore_NEG)': False, 'contains(ripper_NEG)': False, 'contains(police_NEG)': False, 'contains(made_NEG)': False, 'contains(make_NEG)': False, 'contains(sense_NEG)': False, 'contains(love_NEG)': False, 'contains(you)': False, 'contains(involved_NEG)': False, 'contains(shop_NEG)': False, 'contains(were_NEG)': False, 'contains(each_NEG)': False, 'contains(entire_NEG)': False, 'contains(outstanding_NEG)': False, 'contains(second_NEG)': False, 'contains(scheider_NEG)': False, 'contains(island_NEG)': False, 'contains(vaughn_NEG)': False, 'contains(summer_NEG)': False, 'contains(dreyfuss_NEG)': False, 'contains(quint_NEG)': False, 'contains(robert_NEG)': False, 'contains(orca_NEG)': False, 'contains(sharks_NEG)': False, 'contains(caught_NEG)': False, 'contains(different_NEG)': False, 'contains(every)': False, 'contains(high)': False, 'contains(tracy_NEG)': False, 'contains(extraordinary_NEG)': False, 'contains(school_NEG)': False, 'contains(broderick_NEG)': False, 'contains(witherspoon_NEG)': False, 'contains(mr_NEG)': False, 'contains(how)': False, 'contains(nine)': False, 'contains(terrible)': False, 'contains(mess)': True, 'contains(starring)': False, 'contains(mr)': False, 'contains(referring_NEG)': False, 'contains(fact_NEG)': False, 'contains(flutters_NEG)': False, 'contains(paid_NEG)': False, 'contains(included_NEG)': False, 'contains(tells_NEG)': False, 'contains(girlfriend_NEG)': False, 'contains(cat_NEG)': False, 'contains(exchange_NEG)': False, 'contains(predictable_NEG)': False, 'contains(successful_NEG)': False, 'contains(child_NEG)': False, 'contains(unfunny_NEG)': False, 'contains(kid_NEG)': False, 'contains(dad_NEG)': False, 'contains(eyelashes_NEG)': False, 'contains(smile_NEG)': False, 'contains(talent_NEG)': False, 'contains(elaborate_NEG)': False, 'contains(point_NEG)': False, 'contains(includes_NEG)': False, 'contains(laughs_NEG)': False, 'contains(olds_NEG)': False, 'contains(else_NEG)': False, 'contains(disbelief_NEG)': False, 'contains(every_NEG)': False, 'contains(equally_NEG)': False, 'contains(friend_NEG)': False, 'contains(wife_NEG)': False, 'contains(also_NEG)': False, 'contains(arnold_NEG)': False, 'contains(funny_NEG)': False, 'contains(draw_NEG)': False, 'contains(store_NEG)': False, 'contains(away_NEG)': False, 'contains(someone_NEG)': False, 'contains(take_NEG)': False, 'contains(adults_NEG)': False, 'contains(intelligence_NEG)': False, 'contains(people_NEG)': False, 'contains(forced_NEG)': False, 'contains(anyone_NEG)': False, 'contains(first)': False, 'contains(but)': True, 'contains(worried_NEG)': False, 'contains(recent_NEG)': False, 'contains(fall_NEG)': False, 'contains(disney_NEG)': False, 'contains(cast_NEG)': False, 'contains(crown_NEG)': False, 'contains(best_NEG)': False, 'contains(animation_NEG)': False, 'contains(dead_NEG)': False, 'contains(arrival_NEG)': False, 'contains(keeping_NEG)': False, 'contains(nearly_NEG)': False, 'contains(table_NEG)': False, 'contains(father_NEG)': False, 'contains(help_NEG)': False, 'contains(garrett_NEG)': False, 'contains(dragon_NEG)': False, 'contains(always_NEG)': False, 'contains(itself_NEG)': False, 'contains(might_NEG)': False, 'contains(missing_NEG)': False, 'contains(pure_NEG)': False, 'contains(ever_NEG)': False, 'contains(nothing_NEG)': False, 'contains(rest_NEG)': False, 'contains(case_NEG)': False, 'contains(becomes_NEG)': False, 'contains(win_NEG)': False, 'contains(television_NEG)': False, 'contains(white_NEG)': False, 'contains(same_NEG)': False, 'contains(actors_NEG)': False, 'contains(sound_NEG)': False, 'contains(must_NEG)': False, 'contains(strain_NEG)': False, 'contains(mess_NEG)': False, 'contains(children_NEG)': False, 'contains(bored_NEG)': False, 'contains(lack_NEG)': False, 'contains(personality_NEG)': False, 'contains(so)': True, 'contains(all)': False, 'contains(his)': True, 'contains(world)': False, 'contains(order)': False, 'contains(their)': False, 'contains(those)': False, 'contains(are)': True, 'contains(being_NEG)': False, 'contains(movies_NEG)': False, 'contains(batman_NEG)': False, 'contains(want_NEG)': False, 'contains(threatening_NEG)': False, 'contains(violence_NEG)': False, 'contains(think_NEG)': False, 'contains(finally_NEG)': False, 'contains(unpleasant_NEG)': False, 'contains(down_NEG)': False, 'contains(nicolas_NEG)': False, 'contains(eyes_NEG)': False, 'contains(cage_NEG)': False, 'contains(late_NEG)': False, 'contains(young_NEG)': False, 'contains(girl_NEG)': False, 'contains(easy_NEG)': False, 'contains(subject_NEG)': False, 'contains(show_NEG)': False, 'contains(hollywood_NEG)': False, 'contains(lot_NEG)': False, 'contains(face_NEG)': False, 'contains(horror_NEG)': False, 'contains(offensive_NEG)': False, 'contains(revelation_NEG)': False, 'contains(neither_NEG)': False, 'contains(boy)': False, 'contains(her)': True, 'contains(which)': True, 'contains(fact)': True, 'contains(effects_NEG)': False, 'contains(serve_NEG)': False, 'contains(nudity_NEG)': False, 'contains(cable_NEG)': False, 'contains(slightly_NEG)': False, 'contains(rejected_NEG)': False, 'contains(typically_NEG)': False, 'contains(midnight_NEG)': False, 'contains(suspense_NEG)': False, 'contains(credits_NEG)': False, 'contains(narrator_NEG)': False, 'contains(stalkers_NEG)': False, 'contains(actor_NEG)': False, 'contains(jay_NEG)': False, 'contains(underwood_NEG)': False, 'contains(starts_NEG)': False, 'contains(proceeds_NEG)': False, 'contains(victim_NEG)': False, 'contains(plans_NEG)': False, 'contains(become_NEG)': False, 'contains(pet_NEG)': False, 'contains(some_NEG)': False, 'contains(lead_NEG)': False, 'contains(guess_NEG)': False, 'contains(adequate_NEG)': False, 'contains(either_NEG)': False, 'contains(toward_NEG)': False, 'contains(words_NEG)': False, 'contains(ditzy_NEG)': False, 'contains(needs_NEG)': False, 'contains(decides_NEG)': False, 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False, 'contains(combination_NEG)': False, 'contains(actual_NEG)': False, 'contains(five_NEG)': False, 'contains(nicknamed_NEG)': False, 'contains(bruce_NEG)': False, 'contains(crew_NEG)': False, 'contains(built_NEG)': False, 'contains(shot_NEG)': False, 'contains(angles_NEG)': False, 'contains(forgotten_NEG)': False, 'contains(sort_NEG)': False, 'contains(precursor_NEG)': False, 'contains(waterworld_NEG)': False, 'contains(soggy_NEG)': False, 'contains(cost_NEG)': False, 'contains(overruns_NEG)': False, 'contains(universal_NEG)': False, 'contains(bomb_NEG)': False, 'contains(overcame_NEG)': False, 'contains(obstacles_NEG)': False, 'contains(delivered_NEG)': False, 'contains(finest_NEG)': False, 'contains(primal_NEG)': False, 'contains(along)': False, 'contains(suspect)': False, 'contains(indication)': False, 'contains(will)': False, 'contains(stinker)': False, 'contains(everybody)': False, 'contains(surprise)': False, 'contains(perhaps)': False, 'contains(becomes)': False, 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'contains(as)': True, 'contains(well)': True, 'contains(personal)': False, 'contains(reasons)': False, 'contains(dark)': False, 'contains(side)': False, 'contains(such)': True, 'contains(sleeper)': False, 'contains(because)': True, 'contains(expectations)': False, 'contains(low)': False, 'contains(quality)': False, 'contains(stuff)': False, 'contains(made)': True, 'contains(more)': True, 'contains(enthusiastic)': False, 'contains(any)': False, 'contains(right)': False, 'contains(ca)': False, 'contains(help)': False, 'contains(glowing)': False, 'contains(contrast)': False, 'contains(negative)': False, 'contains(reviewers)': True, 'contains(likely)': False, 'contains(good)': True, 'contains(does)': True, 'contains(live_NEG)': False, 'contains(hype_NEG)': False, 'contains(disappointing_NEG)': False, 'contains(details_NEG)': False, 'contains(lifted_NEG)': False, 'contains(directly_NEG)': False, 'contains(released_NEG)': False, 'contains(earlier_NEG)': False, 'contains(staggering_NEG)': False, 'contains(matthew_NEG)': False, 'contains(sting_NEG)': False, 'contains(bill_NEG)': False, 'contains(stings_NEG)': False, 'contains(happened_NEG)': False, 'contains(individual_NEG)': False, 'contains(screenplay_NEG)': False, 'contains(contain_NEG)': False, 'contains(points_NEG)': False, 'contains(aware_NEG)': False, 'contains(geeks_NEG)': False, 'contains(revenge_NEG)': False, 'contains(fully_NEG)': False, 'contains(formed_NEG)': False, 'contains(strengths_NEG)': False, 'contains(performances_NEG)': False, 'contains(newcomer_NEG)': False, 'contains(jessica_NEG)': False, 'contains(sister_NEG)': False, 'contains(tammy_NEG)': False, 'contains(playing_NEG)': False, 'contains(rooney_NEG)': False, 'contains(role_NEG)': False, 'contains(fun_NEG)': False, 'contains(early_NEG)': False, 'contains(clout_NEG)': False, 'contains(deserves_NEG)': False, 'contains(nomination_NEG)': False, 'contains(speech_NEG)': False, 'contains(gymnasium_NEG)': False, 'contains(won_NEG)': False, 'contains(bothering_NEG)': False, 'contains(amount_NEG)': False, 'contains(suppose_NEG)': False, 'contains(coming_NEG)': False, 'contains(mtv_NEG)': False, 'contains(expect_NEG)': False, 'contains(less_NEG)': False, 'contains(off_NEG)': False, 'contains(light_NEG)': False, 'contains(airy_NEG)': False, 'contains(sitcom_NEG)': False, 'contains(screws_NEG)': False, 'contains(tighten_NEG)': False, 'contains(tensions_NEG)': False, 'contains(mount_NEG)': False, 'contains(alexander_NEG)': False, 'contains(payne_NEG)': False, 'contains(add_NEG)': False, 'contains(frankly_NEG)': False, 'contains(distract_NEG)': False, 'contains(determination_NEG)': False, 'contains(costs_NEG)': False, 'contains(throw_NEG)': False, 'contains(logical_NEG)': False, 'contains(tonal_NEG)': False, 'contains(nosedive_NEG)': False, 'contains(explicitly_NEG)': False, 'contains(mark_NEG)': False, 'contains(disappointment_NEG)': False}, 'neg')]
trainer = NaiveBayesClassifier.train
classifier = sentim_analyzer.train(trainer, training_set)
for key,value in sorted(sentim_analyzer.evaluate(test_set).items()):
print('{0}: {1}'.format(key,value))
Training classifier Evaluating NaiveBayesClassifier results... Accuracy: 0.5 F-measure [neg]: 0.6666666666666666 F-measure [pos]: None Precision [neg]: 0.5 Precision [pos]: None Recall [neg]: 1.0 Recall [pos]: 0.0