Text Mining: Sentiment Classifier

Sentiment Classifier menggunakan Word Sense Disambiguation menggunakan WordNet dan statistik terjadinya kata dari corpus movie review NLTK. Mengklasifikasikan ke dalam kategori positif dan negatif.

Persyaratan

• Python 2.6.
• NLTK http://www.nltk.org 2.0
• NumPy http://numpy.scipy.org
• SentiWordNet http://sentiwordnet.isti.cnr.it

Cara Install

Akan butuh akses ke folder

/usr/local/lib/python2.7/dist-packages/

Perintah shell

sudo python setup.py install

Dokumen

http://readthedocs.org/docs/sentiment_classifier/en/latest/
   Try Online

Penggunaan

Perintah shell

senti_classifier -c file/with/review.txt

Penggunaan Python

Perintah shell

cd sentiment_classifier/src/senti_classifier/
python senti_classifier.py -c reviews.txt

Penggunaan Library

from senti_classifier import senti_classifier
sentences = ['The movie was the worst movie', 'It was the worst acting by the actors']
pos_score, neg_score = senti_classifier.polarity_scores(sentences)
print pos_score, neg_score

Referensi

• http://pythonhosted.org/sentiment_classifier/