Artificial Intelligence Techniques in Text and Sentiment Analysis

Abstract

Of late, text and sentiment analysis have become essential parts of modern marketing. These play a vital role in the division of natural language processing (NLP). It mainly focuses on text classification to examine the intention of the processed text; it can be of positive or negative types. Sentiment analysis dealt with the computational treatment of sentiments, opinions, and subjectivity of text. This chapter tackles a comprehensive approach for the past research solutions that includes various algorithms, enhancements, and applications. This chapter primarily focuses on three aspects. Firstly, the authors present a systematic review of recent works done in the area of text and sentiment analysis; second, they emphasize major concepts, components, functionalities, and classification techniques of text and sentiment analysis. Finally, they provide a comparative study of text and sentiment analysis on the basis of trending research approaches. They conclude the chapter with future directions.