book chapter · IGI Global eBooks · 2022
Tools of Opinion Mining
Cited by 0Abstract and details only
Abstract
Today's generation express their views and opinions publicly. For any organization or for individuals, this feedback is very crucial to improve their products and services. This huge volume of reviews can be analyzed by opinion mining (also known as semantic analysis). It is an emerging field for researchers that aims to distinguish the emotions expressed within the reviews, classifying them into positive or negative opinions, and summarizing it into a form that is easily understood by users. The idea of opinion mining and sentiment analysis tool is to process a set of search results for a given item based on the quality and features. Research has been conducted to mine opinions in form of document, sentence, and feature level sentiment analysis. This chapter examines how opinion mining is moving to the sentimental reviews of Twitter data, comments used in Facebook on pictures, videos, or Facebook statuses. Thus, this chapter discusses an overview of opinion mining in detail with the techniques and tools.
Cite this paper
Gupta, N., & Verma, S. (2022). Tools of Opinion Mining. IGI Global eBooks, 726–747. https://doi.org/10.4018/978-1-6684-6303-1.ch038
Gupta, Neha, and Siddharth Verma. “Tools of Opinion Mining.” IGI Global eBooks, 2022, pp. 726–47, https://doi.org/10.4018/978-1-6684-6303-1.ch038.
Gupta, Neha, and Siddharth Verma. 2022. “Tools of Opinion Mining.” IGI Global eBooks: 726–47. https://doi.org/10.4018/978-1-6684-6303-1.ch038.
Gupta, N. and Verma, S. (2022) ‘Tools of Opinion Mining’, IGI Global eBooks, pp. 726–747. Available at: https://doi.org/10.4018/978-1-6684-6303-1.ch038.
@incollection{gupta2022tools,
title = {{Tools of Opinion Mining}},
author = {Gupta, Neha and Verma, Siddharth},
booktitle = {IGI Global eBooks},
pages = {726--747},
year = {2022},
doi = {10.4018/978-1-6684-6303-1.ch038}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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