Sentiment Extraction From Text Using Emotion Tagged Corpus

被引：0

作者：

Tabashum, Thasina ^{[1
]}

Shaykat, Abdul Mutalab ^{[1
]}

Abujar, Sheikh ^{[2
]}

Mohibullah, Md ^{[3
]}

Chanda, Shekhor ^{[1
]}

机构：

[1] Amer Int Univ Bangladesh, Comp Sci & Engn, Dhaka, Bangladesh

[2] Daffodil Int Univ, Comp Sci & Engn, Dhaka, Bangladesh

[3] Comilla Univ, Dept CSE, Comilla, Bangladesh

来源：

2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2019年

关键词：

Sentiment Analysis; Natural Language Processing; Emotion Tagging;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：6

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