Monitoring Social Attitudes Using Rectitude Gains

Aleksander Wawer

User Centric Media. First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers

Research Article

Monitoring Social Attitudes Using Rectitude Gains

Download

444 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-642-12630-7_44,
    author={Aleksander Wawer},
    title={Monitoring Social Attitudes Using Rectitude Gains},
    proceedings={User Centric Media. First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers},
    proceedings_a={UCMEDIA},
    year={2012},
    month={10},
    keywords={content analysis partial parsing extremism detection},
    doi={10.1007/978-3-642-12630-7_44}
}

Aleksander Wawer
Year: 2012
Monitoring Social Attitudes Using Rectitude Gains
UCMEDIA
Springer
DOI: 10.1007/978-3-642-12630-7_44

Aleksander Wawer¹^,*

1: Polish Academy of Science

*Contact email: axw@ipipan.waw.pl

Abstract

The article describes a prototype system aimed at monitoring attitudes toward any social group. The approach involves web mining and content analysis based on Rectitude Gain category from the Laswell dictionary of political values, extended into shallow predicate rules. The system requires no lexical sentiment resources and no training corpora. It has been designed, implemented and tested in Polish.

Keywords: content analysis partial parsing extremism detection

Published: 2012-10-23

: http://dx.doi.org/10.1007/978-3-642-12630-7_44

Monitoring Social Attitudes Using Rectitude Gains

Abstract

About EAI

Community

Publish with EAI