Opinion Mining in Information Retrieval is popular PDF and ePub book, written by Surbhi Bhatia in 2020-05-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Opinion Mining in Information Retrieval can be Read Online from any device for your convenience.
Opinion Mining in Information Retrieval Book PDF Summary
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.
Detail Book of Opinion Mining in Information Retrieval PDF
- Author : Surbhi Bhatia
- Release : 19 May 2020
- Publisher : Springer Nature
- ISBN : 9789811550430
- Genre : Technology & Engineering
- Total Page : 119 pages
- Language : English
- PDF File Size : 10,5 Mb
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