Application and Study on Sentiment-oriented Analysis on Social Semantic Network
Dan Zhang, Dong sheng Wang, Hai ping Huang
Available Online August 2013.
- https://doi.org/10.2991/icacsei.2013.147How to use a DOI?
- Semantic Web technology, Twitter Mining, Social Network Analysis, emotion analysis, Social Semantic Network.
- With the increasing growth of users and exponential propagation of messages, Social Network Services such as Twitter, Facebook can be used to analyze social trend, people’s interests and personal-favor. Recently, the Social Network Analysis based on Semantic Web technology tends to be a hot study. In this paper, we propose a sentiment-oriented method that takes advantage of emotion ontology to reason out Twitter users’ basic emotions and retrieve YAGO ontology to explain associative topics. We implement a prototype system that visualizes the analysis result, which is human-readable as well as machine-understandable.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dan Zhang AU - Dong sheng Wang AU - Hai ping Huang PY - 2013/08 DA - 2013/08 TI - Application and Study on Sentiment-oriented Analysis on Social Semantic Network BT - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.147 DO - https://doi.org/10.2991/icacsei.2013.147 ID - Zhang2013/08 ER -