Sentiment analysis in Bengali Text using NLP

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliographic Details
Main Authors:	Sarkar, Ankon, Sourav, Aishwarja Paul, Ahmed, Rezvi
Other Authors:	Shakil, Mr. Arif
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science)
Online Access:	http://hdl.handle.net/10361/19148

id	10361-19148
record_format	dspace
spelling	10361-191482023-07-30T21:02:13Z Sentiment analysis in Bengali Text using NLP Sarkar, Ankon Sourav, Aishwarja Paul Ahmed, Rezvi Shakil, Mr. Arif Sadeque, Dr. Farig Yousuf Department of Computer Science and Engineering, Brac University Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-36). Natural Language Processing, a branch of AI, teaches computers to understand speech and text in multiple languages. Machine learning or deep learning techniques can be used to develop rule-based models of human-spoken languages to simulate accurate text-meaning predictions. Although many studies have vastly improved the categorization of text data in languages such as English, Arabic, Chinese, Urdu, Hindi, etc, Bengali text categorization has not progressed much compared to oth ers. This research proposes an approach to analyzing and extracting basic emotions (Happiness, Sadness, Fear, Anger, Disgust Surprise) from Bengali text data. This can be done by gathering real-life data and producing a special rule-based algorithm using supervised machine learning and deep learning techniques. We evaluate the performance of our models using our own dataset BANEmo, consisting of 14999 annotated Bengali text data. To make text data machine-readable, we employed Bag of words, TF-IDF, Glove, and BERT embedding. We measured performance using supervised machine learning models like Naive Bayes and Support Vector Ma chine. Deep learning techniques like LSTM and Transformers (BERT) were also implemented. Our BERT model outperformed others with an overall accuracy of 69.2%. Ankon Sarkar Aishwarja Paul Sourav Rezvi Ahmed B. Computer Science 2023-07-30T07:27:02Z 2023-07-30T07:27:02Z 2023 2023-01 Thesis ID: 18301273 ID: 18301078 ID: 18301226 http://hdl.handle.net/10361/19148 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. 36 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science)
spellingShingle	Natural language processing Sentiment analysis Bangla text Machine learning Deep learning LSTM Transformers BERT Computational linguistics. Natural language processing (Computer science) Sarkar, Ankon Sourav, Aishwarja Paul Ahmed, Rezvi Sentiment analysis in Bengali Text using NLP
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
author2	Shakil, Mr. Arif
author_facet	Shakil, Mr. Arif Sarkar, Ankon Sourav, Aishwarja Paul Ahmed, Rezvi
format	Thesis
author	Sarkar, Ankon Sourav, Aishwarja Paul Ahmed, Rezvi
author_sort	Sarkar, Ankon
title	Sentiment analysis in Bengali Text using NLP
title_short	Sentiment analysis in Bengali Text using NLP
title_full	Sentiment analysis in Bengali Text using NLP
title_fullStr	Sentiment analysis in Bengali Text using NLP
title_full_unstemmed	Sentiment analysis in Bengali Text using NLP
title_sort	sentiment analysis in bengali text using nlp
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/19148
work_keys_str_mv	AT sarkarankon sentimentanalysisinbengalitextusingnlp AT souravaishwarjapaul sentimentanalysisinbengalitextusingnlp AT ahmedrezvi sentimentanalysisinbengalitextusingnlp
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Sentiment analysis in Bengali Text using NLP

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