Mining sentiments in SMS texts for teaching evaluation

► 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 and the “sentiment” model. ► An “interestingness” criterion selects the “sentiment” model.