Human sentiment analysis using natural language processing
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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| フォーマット: | 学位論文 |
| 言語: | English |
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Brac University
2024
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| オンライン･アクセス: | http://hdl.handle.net/10361/22675 |
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10361-226752024-04-25T21:02:36Z Human sentiment analysis using natural language processing Shamya, Md. Shamiul Haque Khan Fahim, Md. Shariar Hossain Khan, Niaz Makhdum Monir, K.M Mahfuzul Hussain, Mubasshir Nahim, Nabuat Zaman Department of Computer Science and Engineering, Brac University Sentiment CNN-LSTM LSTM RNN Emotion NLP Prediction Token Embedding Machine learning 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 33-36). "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, or reading their text messages/social status. For this reason it is hard sometimes to detect someone’s feelings. Therefore, we have devised a plan to examine and comprehend the sentiment of a person as determined via sentiment analysis which is a part of natural language processing (NLP). To determine various values from various data configurations, we used three hybrid models: CNN-LSTM, LSTM, and RNN. Six target variables made up the first smaller datasets we worked on, and then we moved on to some larger datasets. People today tend to frequently post their ideas on social media. They want the world to know about their suffering, hope, and joy. Our main objective is to build a program or project that uses sentiment analysis to analyze a person’s writing and generate a report about his or her emotion by that. We also intend to acquire useful real-world datasets. In a contemporary society where people are so emotionally motivated, we aim to recognize their sentiment digitally via natural language processing where we can help a lot of people by that" Md. Shamiul Haque Khan Shamya Md. Shariar Hossain Fahim Niaz Makhdum Khan K.M Mahfuzul Monir Mubasshir Hussain B.Sc. in Computer Science 2024-04-25T04:55:42Z 2024-04-25T04:55:42Z 2023 2023-05 Thesis ID 19101208 ID 19101367 ID 19101371 ID 19101463 ID 19101552 http://hdl.handle.net/10361/22675 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 |
Sentiment CNN-LSTM LSTM RNN Emotion NLP Prediction Token Embedding Machine learning Natural language processing (Computer science) |
| spellingShingle |
Sentiment CNN-LSTM LSTM RNN Emotion NLP Prediction Token Embedding Machine learning Natural language processing (Computer science) Shamya, Md. Shamiul Haque Khan Fahim, Md. Shariar Hossain Khan, Niaz Makhdum Monir, K.M Mahfuzul Hussain, Mubasshir Human sentiment analysis using natural language processing |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Nahim, Nabuat Zaman |
| author_facet |
Nahim, Nabuat Zaman Shamya, Md. Shamiul Haque Khan Fahim, Md. Shariar Hossain Khan, Niaz Makhdum Monir, K.M Mahfuzul Hussain, Mubasshir |
| format |
Thesis |
| author |
Shamya, Md. Shamiul Haque Khan Fahim, Md. Shariar Hossain Khan, Niaz Makhdum Monir, K.M Mahfuzul Hussain, Mubasshir |
| author_sort |
Shamya, Md. Shamiul Haque Khan |
| title |
Human sentiment analysis using natural language processing |
| title_short |
Human sentiment analysis using natural language processing |
| title_full |
Human sentiment analysis using natural language processing |
| title_fullStr |
Human sentiment analysis using natural language processing |
| title_full_unstemmed |
Human sentiment analysis using natural language processing |
| title_sort |
human sentiment analysis using natural language processing |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22675 |
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