sentiment-analysis-using-python

--- Large Data Analysis Course Project ---

This folder is a set of simplified python codes which use sklearn package to classify movie reviews.

Two classifiers were used: Naive Bayes and SVM. SVM gives an accuracy of about 87.5%, which is slightly higher than 86% given by Naive Bayes.

usage

imdbReviews.py generates *.pkl files which are the training and testing datasets. First, set the dataset directory in the imdbReviews.py, then run the code.

python imdbReviews.py

You will get two *.pkl files which are needed for naive.py and svm.py. To do prediction, run the following command.

python naive.py

screenshots

End

last modified 04/16/2016