| 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 |