2024-03-29T10:43:38Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/3441
2021-12-13T08:07:31Z
1582963302567:1597824273898
user-ucsy
Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM
Maw, Soe Yu
Khine, May Aye
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.
2019-02-27
http://hdl.handle.net/20.500.12678/0000003441
https://meral.edu.mm/records/3441