Extracting Knowledge From Opinion Mining

Extracting Knowledge From Opinion Mining

Rashmi Agrawal (Manav Rachna International Institute of Research and Studies, India) and Neha Gupta (Manav Rachna International Institute of Research and Studies, India)
Release Date: September, 2018|Copyright: © 2019 |Pages: 346
ISBN13: 9781522561170|ISBN10: 152256117X|EISBN13: 9781522561187|DOI: 10.4018/978-1-5225-6117-0

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Business Intelligence
  • Feature-Based Opinion Mining
  • Machine Learning
  • Natural Language Processing
  • Ontology-Based Mining
  • Opinion Mining
  • Rule Mining
  • Sentimental Analysis
  • Spam Detection
  • Web Mining

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Rashmi Agrawal is working as Professor in Department of Computer Applications in MRIIRS, Faridabad. Dr. Agrawal has a rich teaching experience of more than 17 years. She is UGC-NET(CS) qualified. She has completed PhD, M.Phil, MTech , MSc and MBA(IT). She has completed her PhD in the area of Machine Learning. Her area of expertise includes Artificial Intelligence, Machine Learning, Data Mining and Operating System. She has published more than 30 research papers in various national and International conferences and Journal and authored many books and chapters in edited books. She has organized various Faculty Development Programmes and participated in workshops and Faculty development Programmes. She is actively involved in research activities. She is a life time member of Computer Society of India. She has been a member of the Technical Programme Committee in various conferences of repute.
Neha Gupta is currently working as an Associate professor, Faculty of Computer Applications at Manav Rachna International Institute of Research and Studies, Faridabad campus. She has completed her PhD from Manav Rachna International University and has done R&D Project in CDAC-Noida. She has total of 12+ year of experience in teaching and research. She is a Life Member of ACM CSTA, Tech Republic and Professional Member of IEEE. She has authored and coauthored 30 research papers in SCI/SCOPUS/Peer Reviewed Journals (Scopus indexed) and IEEE/IET Conference proceedings in areas of Web Content Mining, Mobile Computing, and Web Content Adaptation. She is a technical programme committee (TPC) member in various conferences across globe. She is an active reviewer for International Journal of Computer and Information Technology and in various IEEE Conferences around the world. She is one of the Editorial and review board members in International Journal of Research in Engineering and Technology.