SlideShare a Scribd company logo
EmotionClassification
inMovieReviews
Result
http://dovvvv.tk/
Problems
WhyEmotionClassification?
... But,





https://movie.naver.com/movie/point/af/list.nhn


→
Approach
Problems
( ) 

Corpus Word2Vec
-------------------------

/Adjective, 0

-------------------------

/Noun, 0

/Noun, 0

/Adjective, 0

/Adjective, 0

/Noun, 0

/Adjective, 0

/Noun, 0

/Adjective, 0

/Noun, 0

/Noun, 0

/Noun, 0
809 Corpus
1) 

2) /POS tagging
Limitation:
nsmc + crawling
Tokenizing/

POS tagging
KoNLPy (Twitter)
Word

Embedding
Word2Vec
Corpus
/ 

/ /
Corpus
Most similar words


165,810
73,614 

40,501

20,390

20,701

10,604
* 

‘ ’
Naver Sentiment Movie Corpus https://github.com/e9t/nsmc
MySQL
def tokenize(doc):
return ['/'.join(t) for t in twitter.pos(doc, norm=True, stem=True)]
tokenize(‘ , !’)
>>>
[‘ /Noun',
',/Punctuation',
' /Noun',
' /Noun',
' /Adjective',
'!/Punctuation']
KoNLPy twitter tokenizing/pos tagging
Tf-Idf / Multinomial Naive Bayes

:
clf = Pipeline([
('vect', TfidfVectorizer(min_df=10, ngram_range=(1, 3))),
('clf', MultinomialNB(alpha=0.001)),
])
model = clf.fit(X_train, y_train)
model
Performance
Accuracy Recall F1
Limitation: 5
( )
Flask / Bootstrap / AWS



http://dovvvv.tk/
Limitations / Lessons
•
• OOV → tokenizer (e.g. soynlp)

• / → 

•
• 5 

→ ( 7~11 )

• 5 

→
Thankyou

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Emotion Classification in Movie Reviews