Opinion Mining in Information Retrieval
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Opinion Mining in Information Retrieval

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789811550430
Veröffentl:
2020
Einband:
eBook
Seiten:
105
Autor:
Surbhi Bhatia
Serie:
SpringerBriefs in Applied Sciences and Technology SpringerBriefs in Computational Intelligence
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book discusses in detail the latest trends in sentiment analysis,focusing on "e;how online reviews and feedback reflect the opinions of users and have led to a major shift in the decision-making process at organizations."e; 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 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. 


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.

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