Sina Weibo Mood Predicting the Economics Trends

DOI

10.2991/ssemse-15.2015.108How to use a DOI?

Keywords

Social Computing; Sina Weibo; Mood analysis; Economics trends prediction

Abstract

Social media has already become an important part of daily life. Entering the era of smart phone, people always share their created contents anywhere anytime. Among the created contents, the microblog has become a mapping of human life, which can clearly express natural human emotion and mood. In this paper, we demonstrate how social media content generated by microblog can be used to predict real-world economics trends. Especially, we used the most popular Chinese microblog services Sina Weibo to provide the collective big data for forecasting China economics trends such as China’s Shanghai securities (SSE) composite index. A simple model built based on the social mood at which Weibo are created about people emotion can outperform market-based predictors. We further demonstrate how sentiments extracted from Weibo can be further utilized to improve the predicting power of social media.

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/).

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TY  - CONF
AU  - Fan Pan
AU  - Hui Li
PY  - 2015/11
DA  - 2015/11
TI  - Sina Weibo Mood Predicting the Economics Trends
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 428
EP  - 431
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.108
DO  - 10.2991/ssemse-15.2015.108
ID  - Pan2015/11
ER  -