Pre-Processing Concepts and Techniques for Sentiment Analysis

Abstract

Sentiment Analysis is consider as a big task to analyse people’s opinion, appraisal, and attitudes in the worldly communications. Many of the people can express their emotions with the text, symbols, and variety of ambiguous data through social media networks. Mainly, Twitter permits a 140-character limit to post one’s comments. Therefore, users are posting their comments like ambiguous data. In that case, pre-processing techniques are very helpful to remove the unwanted data from the data set and solve the various research problems in sentiment analysis for supporting the same. This paper mainly deals with the importance of pre-processing concepts and techniques. Especially, pre-processing techniques are given an idea that cautious to select the suitable feature to analyse the sentiments, which gives better result to classify the sentiment words.