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This paper explores the potential application of sentiment mining for analyzing short message service (SMS) texts in teaching evaluation. Data preparation involves the reading, parsing and categorization of the SMS texts. Three models were developed: the base model, the ''corrected'' model which adjusts for spelling errors and the ''sentiment'' model which(More)
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