Enhancing Sentiment Classification using Multi-label Text Mining

B. Narendra, T. Kavitha


Now-a-days there are many social networking sites like Twitter, Facebook. Students post their opinions and feelings through these sites, because these sites provides a way to present their informal conversations. The data from these sites provide a useful knowledge to know the student behaviour. But the problem here is the large volume of data. It is difficult for an automatic algorithm for deeper understanding of the dataset whereas manual checking takes more time to analyse the large amount of data. Here we focussed on the Engineering students to know their educational experiences.

Keywords: Text Pre-processing, Wordnet Interface, Parsing, Hash Tags

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DOI: https://doi.org/10.26483/ijarcs.v6i2.2431


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