Sentimentor: Sentiment analysis of twitter data

CEUR Workshop Proceedings

Volumn 917, Issue , 2012, Pages 56-66

  Spencer, James ^a   Uchyigit, Gulden ^a  

^a UNIVERSITY OF BRIGHTON   (United Kingdom)

Author keywords

Classification; Machine learning; Opinion mining; Sentiment analysis

Indexed keywords

CLASSIFICATION RESULTS; EXPERIMENTAL EVALUATION; NAIVE BAYES CLASSIFIERS; OPINION MINING; SENTIMENT ANALYSIS;

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 84891778775     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Bo Pang, L.L. : Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval January Volume 2 Issue 1-2, 1-94 (2008), http://www.cs.cornell.edu/home/llee/omsa/omsa.pdf.
2. Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. Processing 150(12), 1-6 (2009), http://www.stanford.edu/ alecmgo/papers/TwitterDistantSupervision09.pdf.
3. Pak, A., Paroubek, P. : Twitter as a corpus for sentiment analysis and opinion mining. In: Chair), N.C.C., Choukri, K., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S., Rosner, M., Tapias, D. (eds.) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10). European Language Resources Association (ELRA), Valletta, Malta (may 2010).
4. Turney, P.D. : Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. pp. 417-424. ACL '02, Association for Computational Linguistics, Stroudsburg, PA, USA (2002), http://dx.doi.org/10.3115/1073083.1073153.