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Opinion mining in information retrieval

Bhatia, Surbhi.

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Opinion mining in information retrieval

Record Type:	Electronic resources : Monograph/item
Title/Author:	Opinion mining in information retrieval/ by Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey.
Author:	Bhatia, Surbhi.
other author:	Chaudhary, Poonam.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xvi, 105 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-981-15-5043-0
ISBN:	9789811550430

Opinion mining in information retrieval
Bhatia, Surbhi.

Opinion mining in information retrieval[electronic resource] /by Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey. - Singapore :Springer Singapore :2020. - xvi, 105 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

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.

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.

ISBN: 9789811550430

Standard No.: 10.1007/978-981-15-5043-0doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / B438 2020

Dewey Class. No.: 006.312

Opinion mining in information retrieval
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100 1 $a Bhatia, Surbhi. $3 3505686
245 1 0 $a Opinion mining in information retrieval $h [electronic resource] / $c by Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xvi, 105 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, Computational intelligence
505 0 $a 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.
520 $a 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.
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650 0 $a Information retrieval. $3 566853
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650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Chaudhary, Poonam. $3 3524727
700 1 $a Dey, Nilanjan. $3 2200043
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $p Computational intelligence. $3 2054423
856 4 0 $u https://doi.org/10.1007/978-981-15-5043-0
950 $a Intelligent Technologies and Robotics (Springer-42732)