Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Application and Study on Sentiment-oriented Analysis on Social Semantic Network

Authors
Dan Zhang, Dong sheng Wang, Hai ping Huang
Corresponding Author
Dan Zhang
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.147How to use a DOI?
Keywords
Semantic Web technology, Twitter Mining, Social Network Analysis, emotion analysis, Social Semantic Network.
Abstract
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.

Download article (PDF)

Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.147How to use a DOI?
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  -