Opinion mining in information retrieval / Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Opinion mining in information retrieval / Surbhi Bhatia, Poonam Chaudhary, Nilanjan Dey.

9789811550430 (electronic book)
9811550433 (electronic book)
9789811550423
9811550425

Singapore : Springer, 2020.

English

1 online resource (119 pages).

10.1007/978-981-15-5

QA76.9.D343

006.3/12

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 todays society. In the past, peoples 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 ones 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.

Access limited to authorized users.

Description based on print version record.

SpringerBriefs in applied sciences and technology. Computational intelligence.

Online Resources > Ebooks
All Resources