Semantic and Sentiment Analysis

Abstract

—Sentiment and Semantic analysis is a very powerful tool in today's internet. It is very important to find out the correct context and sense in which a particular sentence has been written on the internet because there is no physical contact to find out the meaning of the sentence. A number of methods and techniques are followed in order to classify the defined statement as positive or negative. This classification helps to actually find out the context of a sentence remotely. This paper aims at surveying a number of such algorithms, methods and techniques to classify any sentence as positive, negative or neutral and also discuss the issues related to each method faced during implementation and execution. The essential issues in sentiment analysis are to identify how sentiments are expressed in texts and whether the expressions indicate positive (favorable) or negative (unfavorable) opinions toward the subject and how efficiently and correctly sentences are classified.