Sentiment Analysis in the Online Health Community

DOI

10.2991/ic3me-15.2015.254How to use a DOI?

Keywords

Sentiment Analysis, Social Network Analysis, Online Health Community

Abstract

Nowadays, accelerated urbanization and improving living standard have brought some unexpected negative influences, making modern citizens more suffered from chronic diseases. On the other hand, with the innovation of information technology, Web 2.0 is able to provide an accessible and unobstructed channel of communication, which attracts more patients to seek support of health problems through the Internet. Therefore, increasing researches have been focusing on improvement of effective management of online health community. It should been mentioned that community activities reflect the relationship and communication of people, which involves more or less emotional elements. Further, this may influence the management of the entire community. In this research, we utilize social network analysis and sentiment analysis to understand the pattern of communication between patients, in order to provide theoretical and technical support.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Bing Wu
AU  - Yu Peng
PY  - 2015/08
DA  - 2015/08
TI  - Sentiment Analysis in the Online Health Community
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1326
EP  - 1329
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.254
DO  - 10.2991/ic3me-15.2015.254
ID  - Wu2015/08
ER  -