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Sentiment Extraction from Text Using Emotion Tagged Corpus

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dc.contributor.author Tabashum, Thasina
dc.contributor.author Shaykat, Abdul Mutalab
dc.contributor.author Abujar, Sheikh
dc.contributor.author Mohibullah, Md
dc.contributor.author Chanda, Shekhor
dc.date.accessioned 2021-11-07T06:44:50Z
dc.date.available 2021-11-07T06:44:50Z
dc.date.issued 2019-12-30
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6346
dc.description.abstract Emotion 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. en_US
dc.language.iso en_US en_US
dc.publisher 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE en_US
dc.subject Sentiment analysis en_US
dc.subject Computer science en_US
dc.subject Distance measurement en_US
dc.subject Bibliographies en_US
dc.subject Emotion recognition en_US
dc.subject Information retrieval en_US
dc.title Sentiment Extraction from Text Using Emotion Tagged Corpus en_US
dc.type Article en_US


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