Opinion Mining in Information Retrieval

by Bhatia, Surbhi

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Title Statements

Full title :Opinion Mining in Information Retrieval / by Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey.

Summary

This book discusses in detail the latest trends in sentiment analysis,focusing on "how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations." Social networking has become essential in today's society. In the past, people's decisions to buy certain products (and companies' efforts to sell them) were largely based on advertisements, surveys, focus groups, consultants, and the opinions of friends and relatives. But now this is no longer limited to one's circle of friends, family or small surveys;it has spread globally to online social media in the form of blogs, posts, tweets, social networking sites, review sites and so on. Though not always easy, the transition from surveys to social media is certainly lucrative. Business analytical reports have shown that many organizations have improved their sales, marketing and strategy, setting up new policies and making decisions based on opinion mining techniques. .

Edition Statements

Publication Date:2020.
Edition:First edition 2020

Publication Statements

Publisher(s):Imprint: Springer, Springer Singapore
Place of Publication:Singapore
Language:eng
Publication Date:2020.

The Physical Object

Description:1 online resource (XVI, 105 pages 48 illustrations, 11 illustrations in color. :) : online resource.

Edition Identifiers

ISBN:9789811550430, 9811550433, 9789811550423, 9811550425, 9789811550447, 9811550441
oclc:on1340087789
LC Classification:Q342
Dewey Decimal:006.3

Chapter 1. Introduction to Opinion Mining -- Chapter 2. Opinion Score Mining System -- Chapter 3. Opinion Retrieval -- Chapter 4. Aspect Extraction -- Chapter 5. Opinion Classification -- Chapter 6. Opinion Summarization -- Chapter 7. Conclusions.