Scopus Indexed Paper

Paper Details


Title
Sentiment Extraction from Text Using Emotion Tagged Corpus
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.
Keywords
Sentiment Analysis, Natural Language Processing, Emotion Tagging
Authors
Thasina Tabashum, Abdul Mutalab Shaykat, Sheikh Abujar, Md Mohibullah, Shekhor Chanda
Phone
Journal or Conference Name
2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
Publish Year
2019
Indexing
Scopus