Sentence Level Sentiment Classification Using Machine Learning Approach in Bengali Language

Abstract

In recent times, Emotion extraction from a sentence or word is the most well-known research area in Machine Learning. Huge number of research had already been taken place in natural language processing to detect the gist of a sentence from the text for construct an intelligent system. But enormous number of research has been done on English language. On the other hand, limited number were happened on Bengali dataset through the finite number of Bengali datasets. For my research I used an identical dataset where a lot of sentences were collected from various number of online news portal also different social sites such as Facebook, Twitter, YouTube etc. In my dataset has two columns where ones contain sentences and other contains two types sentiment tags like as positive and negative. My main focus to construct an intellectual system that can detect the emotion of a sentence such as positive or negative.