sentiment_classifier 0.3

Sentiment Classification using Word Sense Disambiguation, Senti Word Net and word occurance statistics using movie review corpus

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 heuristics.