{"created":"2020-09-01T12:30:15.585653+00:00","id":3441,"links":{},"metadata":{"_buckets":{"deposit":"ecd488b5-3924-4192-8b54-59b93a555a14"},"_deposit":{"id":"3441","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3441"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3441","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"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."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Sentiment Analysis"},{"interim":"Long Short-Term Memory"},{"interim":"Big social data analysis"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-22"}],"displaytype":"preview","filename":"ICCA 2019 Proceedings Book-pages-130-135.pdf","filesize":[{"value":"704 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3441/files/ICCA 2019 Proceedings Book-pages-130-135.pdf"},"version_id":"075d58eb-b6e0-4296-b7cd-3a2e40106952"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Seventeenth International Conference on Computer Applications(ICCA 2019)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Maw, Soe Yu"},{"subitem_authors_fullname":"Khine, May Aye"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2019-02-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1190"},"item_title":"Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-22","publish_status":"0","recid":"3441","relation_version_is_last":true,"title":["Aspect based Sentiment Analysis for travel and tourism in Myanmar Language using LSTM"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T08:07:31.154477+00:00"}