Extracting Knowledge From Opinion Mining

Rashmi Agrawal

ISBN 10: 152256117X / ISBN 13: 9781522561170

Editore: Engineering Science Reference, 2018

Riguardo questo articolo

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9781522561170

Dati bibliografici

• Titolo: Extracting Knowledge From Opinion Mining
• Editore: Engineering Science Reference
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 152256117X
• ISBN 13: 9781522561170
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

"This book covers the key topics of opinion mining and sentiment analysis. It includes future trends and research directions related to opinion supervised and unsupervised approaches for opinion mining, machine learning techniques, deep learning and opinion spam detection. The book also includes some open source tools for opinion mining and sentiment analysis"--