Sentiment Extraction from Text Using Emotion Tagged Corpus

dc.contributor.authorTabashum, Thasina
dc.contributor.authorShaykat, Abdul Mutalab
dc.contributor.authorAbujar, Sheikh
dc.contributor.authorMohibullah, Md
dc.contributor.authorChanda, Shekhor
dc.date.accessioned2021-11-07T06:44:50Z
dc.date.available2021-11-07T06:44:50Z
dc.date.issued2019-12-30
dc.description.abstractEmotion tagging aims to tag words with appropriate emotion that a word expresses in a document or a sentence. In this paper, authors introduced an approach to tag words automatically and then analyzed in sentence and document level. The evaluation of tagged words described and the performance based on changing the tone of a document has been explained. The experiment showed that the approach could be effective if the tag words are not constant or static. Application of this approach in a contextual level analysis is briefly concluded and proposed tentative emotional tree by using emotion tagging in word level.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6346
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6346
dc.language.isoen_US
dc.publisher10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE
dc.sourceDIU Institutional Repository
dc.subjectSentiment analysis
dc.subjectComputer science
dc.subjectDistance measurement
dc.subjectBibliographies
dc.subjectEmotion recognition
dc.subjectInformation retrieval
dc.titleSentiment Extraction from Text Using Emotion Tagged Corpus
dc.typeArticle

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