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  1. University of Computer Studies, Yangon
  2. Conferences

Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM

http://hdl.handle.net/20.500.12678/0000003441
http://hdl.handle.net/20.500.12678/0000003441
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ICCA ICCA 2019 Proceedings Book-pages-130-135.pdf (704 Kb)
Publication type
Article
Upload type
Publication
Title
Title Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM
Language en
Publication date 2019-02-27
Authors
Maw, Soe Yu
Khine, May Aye
Description
Big social data analytics is an importanttool which can be used to reveal the importantinsight of the information from the social user. It isan approach which combines various statisticalmethods, sentiment analysis, multimedia managementand social media analytics for forecasting andpredicting people and analyzing trends. In Myanmar,most of people use social media, especiallyFacebook, to express their opinion about specifictopic in Myanmar language. Customer's commentand reviews are valuable, and are important sourceof data for multiple purposes. There are variousmethod were introduced for performing sentimentanalysis, still there are not efficient in extracting thesentiment features from a given context of text. In thispaper, aspect based sentiment analysis of hotels’ andrestaurants’ reviews using Long Short-Term Memory(LSTM) is proposed.
Keywords
Sentiment Analysis, Long Short-Term Memory, Big social data analysis
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1190
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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