Collection and Analysis of Emotional Data in Bulletin Board System Forum of University

Article Preview

Abstract:

BBS (Bulletin Board System) forum of campus provides a main platform that students from the same university can communicate with each other by posting a post or comment others posts. The posts and comments in campus BBS contain useful information about the students. In this paper, we design and implement a program to collect the emotional data that were generated in the last two months in BBS of Shanghai Jiao Tong University, and analyze the fluctuation of the emotion along with time. Firstly, we implement a simple crawler to fetch the content of posts and comments; secondly, using Chinese lexical analysis system to get the words; then, give each word an emotional tendency (positive or negative) by using lexicon and analyze the result.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2099-2102

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Diakopoulos N A, Shamma D A. Characterizing debate performance via aggregated twitter sentiment[C]/Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2010: 1195-1198.

DOI: 10.1145/1753326.1753504

Google Scholar

[2] Paul M J, Dredze M. You Are What You Tweet: Analyzing Twitter for Public Health[C]/ICWSM. (2011).

DOI: 10.1609/icwsm.v5i1.14137

Google Scholar

[3] Ku L W, Liang Y T, Chen H H. Opinion Extraction, Summarization and Tracking in News and Blog Corpora[C]/AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs. 2006: 100-107.

Google Scholar

[4] Bollen J, Mao H, Pepe A. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena[C]/ICWSM. (2011).

DOI: 10.1609/icwsm.v5i1.14171

Google Scholar

[5] Thelwall M, Wilkinson D, Uppal S. Data mining emotion in social network communication: Gender differences in MySpace[J]. Journal of the American Society for Information Science and Technology, 2010, 61(1): 190-199.

DOI: 10.1002/asi.21180

Google Scholar