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Effective Monotone Knowledge Integration in Kernel Support Vector Machines Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Sentiment Analysis for Depression Detection on Social Networks

Authors : Xiaohui Tao, Xujuan Zhou, Ji Zhang, Jianming Yong

Published in: Advanced Data Mining and Applications

Publisher: Springer International Publishing

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Abstract

As a response to the urgent demand of methods that help detect depression at early stage, the work presented in this paper has adopted sentiment analysis techniques to analyse users’ contributions of social network to detect potential depression. A prototype has been developed, aiming at demonstrating the mechanism of the approach and potential social effect that may be delivered. The contributions include a depressive sentiment knowledge base and an algorithm to analyse textual data for depression detection.

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Metadata
Title
Sentiment Analysis for Depression Detection on Social Networks
Authors
Xiaohui Tao
Xujuan Zhou
Ji Zhang
Jianming Yong
Copyright Year
2016
Book
Advanced Data Mining and Applications

Print ISBN: 978-3-319-49585-9

Electronic ISBN: 978-3-319-49586-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-49586-6_59

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