Advances in Social Media Analysis (Studies in Computational Intelligence)
This volume presents a collection of carefully selected contributions in the area of social media analysis.
Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research.
The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book.
The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website.
The book will be useful to research students, academics and practitioners in the area of social media analysis.
*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.
Formats for this Ebook
|Required Software||Any PDF Reader, Apple Preview|
|Supported Devices||Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.|
|# of Devices||Unlimited|
|Flowing Text / Pages||Pages|
- PDF | 160 pages
- Mohamed Medhat Gaber (Editor), Mihaela Cocea (Series Editor), Nirmalie Wiratunga (Series Editor), Ayse Goker (Series Editor) 1 more
- Springer: Softcover reprint of the original 1st ed. 2015 edition (9 Oct. 2016)
- Computing Internet
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