Deep Learning-Based Approaches for Sentiment Analysis (1st ed. 2020) (Algorithms for Intelligent Systems)
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- Synopsis
- This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811512162
- Related ISBNs:
- 9789811512155
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/25/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Srikanta Patnaik
- Edited by:
- Namita Mittal
- Edited by:
- Richi Nayak
- Edited by:
- Basant Agarwal
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- by Basant Agarwal
- by Namita Mittal
- by Srikanta Patnaik
- by Richi Nayak
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics