Emotion detection for Bangla language
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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| Langue: | English |
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Brac University
2024
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| Accès en ligne: | http://hdl.handle.net/10361/22846 |
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10361-228462024-05-16T21:04:53Z Emotion detection for Bangla language Rushan, Rowshan Rahman Hossain, Sazid Shovon, Shams Shahariar Rahman, Md Arafat Choudhury, Najeefa Nikhat Karim, Dewan Ziaul Department of Computer Science and Engineering, Brac University Machine learning Emotion detection Emoji generation Digital communication Natural language processing Natural language processing (Computer science) Emotions--Computer simulation Human-computer interaction This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-39). This project aims to identify emotions and generate Bangla-language emojis. Emojis have become essential to digital communication, transcending language borders and improving textual exchanges. This study identifies emotions as Emojis from Bangla text rather than directly detecting them. This study aims to develop a system that uses machine learning and NLP to recognize Bangla text feelings and correlate them to relevant emojis. Using a large sample of Bangla texts, the approach maps emotional content to emojis. Innovative NLP methods, including sentiment analysis, contextual embeddings, and deep learning algorithms, identify emotions in the framework. It’s difficult to effectively read Bengali, a language full of expressions and strong emotions, and produce contextually suitable and culturally informed emojis. An Emotion Detection system for Bangla will improve digital communication in Bangla-speaking populations by making texting more expressive and emotionally resonant. It will advance computational linguistics and human-computer interaction, especially for Bangla. The method integrates smoothly with internet platforms to revolutionize the Bangla-speaking digital exchange of emotions. Rowshan Rahman Rushan Sazid Hossain Shams Shahariar Shovon Md Arafat Rahman B.Sc in Computer Science 2024-05-16T04:21:07Z 2024-05-16T04:21:07Z ©2024 2024-01 Thesis ID: 19301210 ID: 19301224 ID: 19301081 ID: 20101121 http://hdl.handle.net/10361/22846 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 52 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Machine learning Emotion detection Emoji generation Digital communication Natural language processing Natural language processing (Computer science) Emotions--Computer simulation Human-computer interaction |
| spellingShingle |
Machine learning Emotion detection Emoji generation Digital communication Natural language processing Natural language processing (Computer science) Emotions--Computer simulation Human-computer interaction Rushan, Rowshan Rahman Hossain, Sazid Shovon, Shams Shahariar Rahman, Md Arafat Emotion detection for Bangla language |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
| author2 |
Choudhury, Najeefa Nikhat |
| author_facet |
Choudhury, Najeefa Nikhat Rushan, Rowshan Rahman Hossain, Sazid Shovon, Shams Shahariar Rahman, Md Arafat |
| format |
Thesis |
| author |
Rushan, Rowshan Rahman Hossain, Sazid Shovon, Shams Shahariar Rahman, Md Arafat |
| author_sort |
Rushan, Rowshan Rahman |
| title |
Emotion detection for Bangla language |
| title_short |
Emotion detection for Bangla language |
| title_full |
Emotion detection for Bangla language |
| title_fullStr |
Emotion detection for Bangla language |
| title_full_unstemmed |
Emotion detection for Bangla language |
| title_sort |
emotion detection for bangla language |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22846 |
| work_keys_str_mv |
AT rushanrowshanrahman emotiondetectionforbanglalanguage AT hossainsazid emotiondetectionforbanglalanguage AT shovonshamsshahariar emotiondetectionforbanglalanguage AT rahmanmdarafat emotiondetectionforbanglalanguage |
| _version_ |
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