Sentiment Analysis Techniques, Tools, Applications, and Challenge

View Sample PDF

Author(s): Chitra A. Dhawale (P. R. Pote College of Engineering and Management, India)and Vandana V. Chaudhari (Smt. G. G. Khadse College, India)
Copyright: 2020
Pages: 14
Source title: Exploring the Power of Electronic Word-of-Mouth in the Services Industry
Source Author(s)/Editor(s): Sandra Maria Correia Loureiro (Instituto Universitário de Lisboa, Portugal)and Hans Ruediger Kaufmann (University of Applied Management Studies, Germany)
DOI: 10.4018/978-1-5225-8575-6.ch003

Keywords: Business Science Reference / Communication Studies / Education / Marketing

Purchase

View Sentiment Analysis Techniques, Tools, Applications, and Challenge on the publisher's website for pricing and purchasing information.

Abstract

Sentiment (opinion) refers to the feelings of a human being, which are generally reflected through speech and writing in a particular natural language. The analysis of these sentiments are therefore carried with the help of natural language processing, text analysis, and computational linguistics to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Sentiment analysis is widely applied to reviews and social media for a variety of applications, ranging from marketing research, political reviews, policy making, decision making, customer service, etc. In this chapter the authors include the introduction to sentiment analysis, various approaches for classification of sentiment analysis, various tools used, the application areas, challenges, and future research direction in this most demanding area.

The IRMA Community

Research IRM

Sentiment Analysis Techniques, Tools, Applications, and Challenge

Purchase

Abstract

Related Content

IRMA Sponsors