Performing sentiment analysis in Bangla microblog posts
This conference paper was presented in the International Conference on Informatics, Electronics and Vision, ICIEV 2014; Dhaka; Bangladesh; 23 May 2014 through 24 May 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICIEV.2014.6850712
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10361-75522018-07-25T10:38:26Z Performing sentiment analysis in Bangla microblog posts Chowdhury, Shaika Chowdhury, Wasifa Department of Computer Science and Engineering, BRAC University Bangla microblog posts Maximum entropy Semi-supervised bootstrapping Sentiment analysis Support vector machine This conference paper was presented in the International Conference on Informatics, Electronics and Vision, ICIEV 2014; Dhaka; Bangladesh; 23 May 2014 through 24 May 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICIEV.2014.6850712 Much of the research work on sentiment analysis has been carried out in the English language, but work in Bangla is limited to only news corpus and blogs. Microblogging sites are becoming a valuable source for publishing huge volumes of user-generated information, as users express their views, opinions, and sentiments over various topics. In this paper, we aim to automatically extract the sentiments or opinions conveyed by users from Bangla microblog posts and then identify the overall polarity of texts as either negative or positive. We use a semi-supervised bootstrapping approach for the development of the training corpus which avoids the need for labor intensive manual annotation. For classification, we use Support Vector Machine (SVM) and Maximum Entropy (MaxEnt) and do a comparative analysis on the performance of these two machine learning algorithms by experimenting with a combination of various sets of features. Published 2017-01-04T10:26:54Z 2017-01-04T10:26:54Z 2014 Conference paper Chowdhury, S., & Chowdhury, W. (2014). Performing sentiment analysis in bangla microblog posts. Paper presented at the 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014, doi:10.1109/ICIEV.2014.6850712 978-147995179-6 http://hdl.handle.net/10361/7552 http://dx.doi.org/10.1109/ICIEV.2014.6850712 en http://ieeexplore.ieee.org/document/6850712/ © 2014 IEEE Computer Society |
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Brac University |
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Institutional Repository |
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English |
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Bangla microblog posts Maximum entropy Semi-supervised bootstrapping Sentiment analysis Support vector machine |
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Bangla microblog posts Maximum entropy Semi-supervised bootstrapping Sentiment analysis Support vector machine Chowdhury, Shaika Chowdhury, Wasifa Performing sentiment analysis in Bangla microblog posts |
description |
This conference paper was presented in the International Conference on Informatics, Electronics and Vision, ICIEV 2014; Dhaka; Bangladesh; 23 May 2014 through 24 May 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICIEV.2014.6850712 |
author2 |
Department of Computer Science and Engineering, BRAC University |
author_facet |
Department of Computer Science and Engineering, BRAC University Chowdhury, Shaika Chowdhury, Wasifa |
format |
Conference paper |
author |
Chowdhury, Shaika Chowdhury, Wasifa |
author_sort |
Chowdhury, Shaika |
title |
Performing sentiment analysis in Bangla microblog posts |
title_short |
Performing sentiment analysis in Bangla microblog posts |
title_full |
Performing sentiment analysis in Bangla microblog posts |
title_fullStr |
Performing sentiment analysis in Bangla microblog posts |
title_full_unstemmed |
Performing sentiment analysis in Bangla microblog posts |
title_sort |
performing sentiment analysis in bangla microblog posts |
publisher |
© 2014 IEEE Computer Society |
publishDate |
2017 |
url |
http://hdl.handle.net/10361/7552 http://dx.doi.org/10.1109/ICIEV.2014.6850712 |
work_keys_str_mv |
AT chowdhuryshaika performingsentimentanalysisinbanglamicroblogposts AT chowdhurywasifa performingsentimentanalysisinbanglamicroblogposts |
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1814309472298860544 |