Metadata-Version: 1.0
Name: sentiment_classifier
Version: 0.5
Summary: Sentiment Classification using Word Sense Disambiguation, Senti Word Net and word occurance statistics using movie review corpus
Home-page: http://www.jaist.ac.jp/~s1010205/sentiment_classifier
Author: KATHURIA Pulkit
Author-email: pulkit@jaist.ac.jp
License: LICENSE.txt
Description: Sentiment Classification using WSD
        ==================================
        
        - ``pip install sentiment_classifier``
        - `Home <http://www.jaist.ac.jp/~s1010205/>`_
        - `Download <http://pythonpackages.com/package/sentiment_classifier>`_
        - `Github <https://github.com/kevincobain2000/sentiment_classifier>`_
        - `Try Online <http://www.jaist.ac.jp/~s1010205/sentiment_classifier/>`_
        
        
        Overview
        --------
        
        Sentiment Classifier using Word Sense Disambiguation using ``wordnet`` and word occurance
        statistics from movie review corpus ``nltk``. Classifies into positive and negative categories.
        
        Online Demo
        -----------
        
        - `Try Online <http://www.jaist.ac.jp/~s1010205/sentiment_classifier/>`_
        
        
        Requirements
        ------------
        
        In ``Version 0.5`` all the following requirements are installed automatically. In case of troubles install those manually.
        
        - You must have Python 2.6.
        - NLTK http://www.nltk.org  2.0 installed.
        - NumPy http://numpy.scipy.org
        - SentiWordNet http://sentiwordnet.isti.cnr.it
        
        
        How to Install
        --------------
        
        Shell command ::
        
        python setup.py install
        
        Documentation
        -------------
        
        - http://readthedocs.org/docs/sentiment_classifier/en/latest/
        - `Try Online <http://www.jaist.ac.jp/~s1010205/sentiment_classifier/>`_
        
        
        Script Usage
        ------------
        
        Shell Commands::
        
        senti_classifier -c file/with/review.txt
        
        Python Usage
        ------------
        
        Shell Commands ::
        
        cd sentiment_classifier/src/senti_classifier/
        python senti_classifier.py -c reviews.txt
        
        Library Usage
        -------------
        
        .. code-block:: python
        
        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
        
        
        History
        =======
        
        - ``0.5`` No additional data required trained data is loaded automatically. Much faster/Optimized than previous versions.
        - ``0.4`` Added Bag of Words as a Feature as occurance statistics
        - ``0.3`` Sentiment Classifier First app, Using WSD module
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
