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

DOI

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.

Copyright

© 2013, 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  - 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  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 616
EP  - 618
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.147
DO  - 10.2991/icacsei.2013.147
ID  - Zhang2013/08
ER  -