Extracting Knowledge From Opinion Mining

Author:   Rashmi Agrawal ,  Neha Gupta
Publisher:   IGI Global
ISBN:  

9781522561170


Pages:   346
Publication Date:   30 September 2018
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Extracting Knowledge From Opinion Mining


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Overview

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.

Full Product Details

Author:   Rashmi Agrawal ,  Neha Gupta
Publisher:   IGI Global
Imprint:   IGI Global
Weight:   0.899kg
ISBN:  

9781522561170


ISBN 10:   152256117
Pages:   346
Publication Date:   30 September 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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