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Analyzing Sentiment of Movie Reviews in Bangla by Applying Machine Learning Techniques
University of Chittagong, Bangladesh.
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
2019 (English)In: Proceedings of the International Conference on Bangla Speech and Language Processing, 2019Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a process of sentiment analysis of movie reviews written in Bangla language. This process can automate the analysis of audience’s reaction towards a specific movie or TV show. With more and more people expressing their opinions openly in the social networking sites, analyzing the sentiment of comments made about a specific movie can indicate how well the movie is being accepted by the general public. The dataset used in this experiment was collected and labeled manually from publicly available comments and posts from social media websites. Using Support Vector Machine algorithm, this model achieves 88.90% accuracy on the test set and by using Long Short Term Memory network [1] the model manages to achieve 82.42% accuracy. Furthermore, a comparison with some other machine learning approaches is presented in this paper.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Bangla sentiment analysis, Support Vector Machines, Long Short Term Memory
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-75891OAI: oai:DiVA.org:ltu-75891DiVA, id: diva2:1349255
Conference
International Conference on Bangla Speech and Language Processing
Available from: 2019-09-07 Created: 2019-09-07 Last updated: 2019-10-22

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Andersson, Karl

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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