Analysing Sentiments from Student Feedback Using Open-Ended Questions and Advanced Text Analytics
dc.contributor.author | Henarth | |
dc.contributor.author | HMKM | |
dc.contributor.author | Kumara | |
dc.contributor.author | PPNV | |
dc.contributor.author | Jayalath | |
dc.contributor.author | TML | |
dc.date.accessioned | 2019-11-22T12:34:07Z | |
dc.date.available | 2019-11-22T12:34:07Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/2276 | |
dc.language.iso | en | en_US |
dc.subject | Sentiment Analysis | en_US |
dc.subject | Text Analytics | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Feedback Mining | en_US |
dc.subject | Tutor Performance Improvement | en_US |
dc.title | Analysing Sentiments from Student Feedback Using Open-Ended Questions and Advanced Text Analytics | en_US |
dc.type | Article Abstract | en_US |
dc.identifier.journal | KDUIRC-2019 | en_US |
dc.identifier.pgnos | 108 | en_US |
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