Extracting Knowledge From Opinion Mining (Paperback)

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	December 2018
Editors:	Rashmi Agrawal • Neha Gupta
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	346
ISBN-13:	978-1-5225-8780-4
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	1-5225-8780-2
Barcode:	9781522587804

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