A Comprehensive Survey on Sentimental Analysis using Classification Techniques

Abstract

For businesses and manufacturers, opinion information is extremely essential. They frequently want to know intimately what their goods and services think of customers and the public. It is nonetheless unrealistic to read every article manually on the site and extract valuable views from it. If you do it manually, too much info is available. Sentiment analysis provides for efficient and cost-effective large-scale processing of data. To learn more about sentiment analysis, this author examines how sentiment analysis is used by businesses to identify their strengths & limitations. This paper summarizes the sentiment analysis on amazon reviews with its application and classification levels. This work reviews sentiment classification techniques and also studies feature selection in sentiment analysis. In addition, it provides the introduction of natural language processing and its techniques, and limitations. At last, we described text mining in this paper.