Sentiment Analysis Using Customizable Naive Bayes Classifier

Abstract

Huge amount of data are available on the internet. Due to this, there is an increasing interest in automatically obtaining valuable information from these data using Sentiment Analysis. A lot of methods and datasets are used to build models for classifying. This project aims to develop a system that lets the user decide on what datasets and preprocessing techniques are to be used on a Naive Bayes Classi er model.