Wednesday, February 17, 2021

Opinion Mining in Information Retrieval PDF Download

Opinion Mining in Information Retrieval PDF
By:Surbhi Bhatia,Poonam Chaudhary,Nilanjan Dey
Published on 2020-05-19 by Springer Nature

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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.

This Book was ranked at 36 by Google Books for keyword medical assistant computer skills.

Book ID of Opinion Mining in Information Retrieval's Books is JjPnDwAAQBAJ, Book which was written bySurbhi Bhatia,Poonam Chaudhary,Nilanjan Deyhave ETAG "j0ciW2gPEQc"

Book which was published by Springer Nature since 2020-05-19 have ISBNs, ISBN 13 Code is 9789811550430 and ISBN 10 Code is 9811550433

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Book which have "105 Pages" is Printed at BOOK under CategoryTechnology and Engineering

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