Mining sentiments in SMS texts for teaching evaluation

Expert Systems with Applications

Volumn 39, Issue 3, 2012, Pages 2584-2589

  Leong, Chee Kian ^a   Lee, Yew Haur ^a   Mak, Wai Keong ^b  

^a SINGAPORE UNIVERSITY OF SOCIAL SCIENCES   (Singapore)

^b Edtrix Solutions   (Singapore)

Author keywords

Education; Sentiment mining; SMS texts

Indexed keywords

BASE MODELS; DATA PREPARATION; INTERESTINGNESS; POTENTIAL APPLICATIONS; SENTIMENT MINING; SHORT MESSAGE SERVICES; SMS TEXT; SPELLING ERRORS; TEACHING EVALUATION; THREE MODELS;

EDUCATION COMPUTING;

EID: 80255123848     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.113     Document Type: Article

References (5)

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3. R. Likert A technique for the measurement of attitudes Archives of Psychology 19 1932 44 53
4. B. Liu Sentiment analysis and subjectivity N. Indurkhya, F.J. Damerau, Handbook of natural language processing 2010 CRC Press Boca Raton 627 666
5. Portio Research. (2010). Mobile messaging futures 2010-2014. UK: Portio Research.