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Opinion Mining in Information Retrieval / by Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey

By: Bhatia, Surbhi, autor
Contributor(s): Chaudhary, Poonam, autor | Dey, Nilanjan, (1984-), autor | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Computational Intelligence, 2625-3704); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (XVI, 105 páginas) : 48 ilustraciones, 11 ilustraciones a color.ISBN: 9789811550430.Subject: Redes sociales | Gestión de marketingOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales HF5438.4 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.26062068
Total holds: 0

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. .

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