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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)
Today's world is relied on computer technology's advancement to get the best whatever they want or select. Since the possibility of sharing and exchanging information on internet, it is really easiest task than ever before and same technology aids are providing us ample amount of data, information while selecting best of services, best of products(More)
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