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dc.contributor.advisorChoudhury, Najeefa Nikhat
dc.contributor.advisorKarim, Dewan Ziaul
dc.contributor.authorRushan, Rowshan Rahman
dc.contributor.authorHossain, Sazid
dc.contributor.authorShovon, Shams Shahariar
dc.contributor.authorRahman, Md Arafat
dc.date.accessioned2024-05-16T04:21:07Z
dc.date.available2024-05-16T04:21:07Z
dc.date.copyright©2024
dc.date.issued2024-01
dc.identifier.otherID: 19301210
dc.identifier.otherID: 19301224
dc.identifier.otherID: 19301081
dc.identifier.otherID: 20101121
dc.identifier.urihttp://hdl.handle.net/10361/22846
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 38-39).
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityRowshan Rahman Rushan
dc.description.statementofresponsibilitySazid Hossain
dc.description.statementofresponsibilityShams Shahariar Shovon
dc.description.statementofresponsibilityMd Arafat Rahman
dc.format.extent52 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac 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.
dc.subjectMachine learningen_US
dc.subjectEmotion detectionen_US
dc.subjectEmoji generationen_US
dc.subjectDigital communicationen_US
dc.subjectNatural language processingen_US
dc.subject.lcshNatural language processing (Computer science)
dc.subject.lcshEmotions--Computer simulation
dc.subject.lcshHuman-computer interaction
dc.titleEmotion detection for Bangla languageen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB.Sc in Computer Science


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