Sentiment Strength Detection for the Social Web
- Author
- THELWALL, Mike1 ; BUCKLEY, Kevan1 ; PALTOGLOU, Georgios1
[1] Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, United Kingdom - Source
Journal of the American Society for Information Science and Technology (Print). 2012, Vol 63, Num 1, pp 163-173, 11 p ; ref : 1 p.1/4
- ISSN
- 1532-2882
- Scientific domain
- Cognition; Documentation; Computer science
- Publisher
- Wiley, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme Indicateur Réseau social Fouille de données d'opinion
- Keyword (en)
- Algorithm Indicator Social network Opinion mining
- Keyword (es)
- Algoritmo Indicador Red social
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A01 Information science. Documentation / 001A01A Library and information science. General aspects / 001A01A02 Bibliometrics. Scientometrics. Evaluation
- Francis
- 790 Information and communication sciences / 790-B Library and information science. General aspects / 790-B02 Bibliometrics. Scientometrics
- Discipline
- Sciences of information and communication
- Origin
- Inist-CNRS
- Database
- FRANCIS ; PASCAL
- INIST identifier
- 25518396
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/asi.21662 
https://dx.doi.org/10.1002/asi.21662
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