Digital Repository

Using Affective Computing and Sentiment Analysis to Show Emotions in An Article

Show simple item record

dc.contributor.author Jamal, Shehan
dc.date.accessioned 2022-12-19T04:14:43Z
dc.date.available 2022-12-19T04:14:43Z
dc.date.issued 2022
dc.identifier.citation Jamal, Shehan (2022) Using Affective Computing and Sentiment Analysis to Show Emotions in An Article. BEng. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2017181
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1149
dc.description.abstract In the current era everybody reads news. Anyone who reads newspapers or article will feel emotion. This emotion can change a person no matter how small the emotion he/she will have a change in behavior, this could affect the persons day and the people around him/her. This change in behavior may be negligible but sometimes it may not. This research is aimed at this area, it allows a person to know what kind of emotion will be felt when reading a piece of information and let the person know whether he/she should keep on reading it as if the information piece is bad it may ruin the persons day which will affect him negatively and affect the people around him/her. en_US
dc.language.iso en en_US
dc.subject Machine Learning en_US
dc.subject Affective Computing en_US
dc.subject Sentiment Analysis en_US
dc.subject Emotional Analysis en_US
dc.subject Natural Language Processing en_US
dc.title Using Affective Computing and Sentiment Analysis to Show Emotions in An Article en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account