Sentiment analysis for Bengali newspaper headlines
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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BRAC University
2017
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| Accesso online: | http://hdl.handle.net/10361/8246 |
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10361-82462022-01-26T10:13:16Z Sentiment analysis for Bengali newspaper headlines Hossain, Mohammad Samman Jui, Israt Jahan Suzana, Afia Zahin Ali, Md. Haider Department of Computer Science and Engineering, BRAC University Sentiment analysis SVM Boosted tree Logistic Bengali Classifiers This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (page 35 - 37). In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We are going to do the same for Bengali language. News headlines from one Bengali newspaper [1] is used for the purpose of the project. As there is no dataset of headlines for this newspaper, we are using web crawler to get necessary headlines to make a dataset to use for this project. For our proposed system, a number of classifiers will be used such as Support Vector Machine [2], Logistic Regression [17] etc. Through the experiments, our aim is to establish a system, which can identify positive and negative news accurately. Mohammad Samman Hossain Israt Jahan Jui Afia Zahin Suzana B. Computer Science and Engineering 2017-06-19T05:59:57Z 2017-06-19T05:59:57Z 2017 2017 Thesis ID 13301040 ID 13301120 ID 13101289 http://hdl.handle.net/10361/8246 en BRAC University thesis 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. 37 pages application/pdf BRAC University |
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Brac University |
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Institutional Repository |
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English |
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Sentiment analysis SVM Boosted tree Logistic Bengali Classifiers |
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Sentiment analysis SVM Boosted tree Logistic Bengali Classifiers Hossain, Mohammad Samman Jui, Israt Jahan Suzana, Afia Zahin Sentiment analysis for Bengali newspaper headlines |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Ali, Md. Haider |
| author_facet |
Ali, Md. Haider Hossain, Mohammad Samman Jui, Israt Jahan Suzana, Afia Zahin |
| format |
Thesis |
| author |
Hossain, Mohammad Samman Jui, Israt Jahan Suzana, Afia Zahin |
| author_sort |
Hossain, Mohammad Samman |
| title |
Sentiment analysis for Bengali newspaper headlines |
| title_short |
Sentiment analysis for Bengali newspaper headlines |
| title_full |
Sentiment analysis for Bengali newspaper headlines |
| title_fullStr |
Sentiment analysis for Bengali newspaper headlines |
| title_full_unstemmed |
Sentiment analysis for Bengali newspaper headlines |
| title_sort |
sentiment analysis for bengali newspaper headlines |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8246 |
| work_keys_str_mv |
AT hossainmohammadsamman sentimentanalysisforbengalinewspaperheadlines AT juiisratjahan sentimentanalysisforbengalinewspaperheadlines AT suzanaafiazahin sentimentanalysisforbengalinewspaperheadlines |
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