Sentiment Analyser

Summary

The program is implemented using the 'Naive Bayes Algorithm' and is trained and tested using a subset of the Pang and Lee 2002 Sentiment Classification / Movie Review data, created by Ted Pedersen (tpederse@d.umn.edu). This program yields 80.8% accuracy based on those testing and training data.

Sentiment Analysis Program based on Naive Bayes Classifier Algorithm

Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Third Edition draft (1/2022), Daniel Jurafsky and James H. Martin.

Output