Difference between revisions of "Text Mining: Sentiment Classifier"

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==Download==
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https://github.com/downloads/kevincobain2000/sentiment_classifier/sentiment_classifier-0.5.tar.gz
  
 
==Dokumen==
 
==Dokumen==

Latest revision as of 07:57, 8 February 2017

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

Jika belum di instalasi, tampaknya sentiment classifer akan men-download & meng-compile semua yang dibutuhkan.

Cara Install

Akan butuh akses ke folder

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

Perintah shell

sudo python setup.py install

akan terinstalasi di

/usr/local/bin


Download

https://github.com/downloads/kevincobain2000/sentiment_classifier/sentiment_classifier-0.5.tar.gz

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