--- 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.
*.pkl files which are the training and testing datasets. First, set the dataset directory in the
imdbReviews.py, then run the code.
You will get two
*.pkl files which are needed for
svm.py. To do prediction, run the following command.
Download Link: Download The Source Code
Official Website: https://github.com/changhuixu/sentiment-analysis-using-python
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