Opinion Mining in Information Retrieval
Bhatia, Surbhi, Chaudhary, Poonam, Dey, Nilanjan
Produktnummer:
18af9beb813eef4a45948ea7a3b8af90c5
| Autor: | Bhatia, Surbhi Chaudhary, Poonam Dey, Nilanjan |
|---|---|
| Themengebiete: | Aspect Extraction Information Retrieval Opinion Classification Opinion Mining Opinion Summarization Rouge Text Mining |
| Veröffentlichungsdatum: | 20.05.2020 |
| EAN: | 9789811550423 |
| Sprache: | Englisch |
| Seitenzahl: | 105 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Singapore |
Produktinformationen "Opinion Mining in Information Retrieval"
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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