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

Bibliographische Detailangaben
Hauptverfasser: Chowdhury, Shaika, Chowdhury, Wasifa
Weitere Verfasser: Department of Computer Science and Engineering, BRAC University
Format: Conference paper
Sprache:English
Veröffentlicht: © 2014 IEEE Computer Society 2017
Schlagworte:
Online Zugang:http://hdl.handle.net/10361/7552
http://dx.doi.org/10.1109/ICIEV.2014.6850712
id 10361-7552
record_format dspace
spelling 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
institution Brac University
collection Institutional Repository
language English
topic Bangla microblog posts
Maximum entropy
Semi-supervised bootstrapping
Sentiment analysis
Support vector machine
spellingShingle 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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