Metadata-Version: 1.0
Name: sentiment-classifier
Version: 0.4
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/home
Author: KATHURIA Pulkit
Author-email: pulkit@jaist.ac.jp
License: LICENSE.txt
Description: Sentiment Classification using WSD
        ==================================
        
        Overview
        --------
        
        Sentiment Classifier using Word Sense Disambiguation using ``wordnet`` and word occurance
        statistics from movie review corpus ``nltk``. Classifies into positive and negative categories.
        
        Requirements
        ------------
        
        - You must have Python 2.6 with argparse http://pypi.python.org/pypi/argparse
        - 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://packages.python.org/sentiment_classifier/::
        
        sentiment_classifier/src/senti_classifier/documentation.html
        
        
        How to Use
        ==========
        Script Usage
        ------------
        Shell Commands::
        
        senti_classifier -p path_to/SentiWordNet_3.0.0_20100908.txt
        Success, Pickled Sentiwordnet to -->  SentiWn.p
        senti_classifier -c reviews.txt
        
        Python Usage
        ------------
        Shell Commands::
        
        cd sentiment_classifier/src/senti_classifier/
        python senti_classifier.py -p path_to/SentiWordNet_3.0.0_20100908.txt
        python senti_classifier.py -c reviews.txt
        
        
        History
        =======
        
        -` `0.4`` Added Bag of Words as a Feature as occurance statistics
        - ``0.3`` Sentiment Classifier First app, Using WSD module
        
        To-Do
        -----
        
        Classify using option ``neutral`` as custom heuristic.
        
Keywords: http://www.jaist.ac.jp/~s1010205/pybits/pybits.html.LyXconv/pybits.html#x1-40003
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
