{"created":"2021-01-11T04:38:59.547262+00:00","id":7365,"links":{},"metadata":{"_buckets":{"deposit":"abaaa88e-7cd0-4869-82dd-9551b967825d"},"_deposit":{"created_by":71,"id":"7365","owner":"71","owners":[71],"owners_ext":{"displayname":"Kay_Thwe","email":"kay_thwe_kywe_aye@miit.edu.mm","username":"kay_thwe"},"pid":{"revision_id":0,"type":"depid","value":"7365"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00007365","sets":["1582963674932","1582963674932:1597397050488"]},"communities":["miit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithm","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The system performs classification by combining Naïve Bayes (NB) and Support Vector Machine (SVM). The system is intended to measure the impact of ASEAN citizens’ social media based on their usage behavior. The system is developed for analyzing National Educational Rate, Busi-ness Rate and Crime Rate occurred in Malaysia, Singapore, Vietnam and our country, Myanmar."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Opinion Mining, Sentiment Analysis, Twitter, Support Vector Machine (SVM), Naïve Byes (NB), Text Classification"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-01-11"}],"displaytype":"preview","filename":"8. Analyzing Sentiment Level of Social Media Data(Miyazaki ICBDL) (Phyu Thwe).pdf","filesize":[{"value":"354 KB"}],"format":"application/pdf","url":{"url":"https://meral.edu.mm/record/7365/files/8. Analyzing Sentiment Level of Social Media Data(Miyazaki ICBDL) (Phyu Thwe).pdf"},"version_id":"39d0c532-8545-48b1-b62c-2bf93b8ba138"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"ICBDL 2018","subitem_c_date":"14-05-2018","subitem_conference_title":"1st International Conference on Big Data Analysis and Deep Learning","subitem_place":"Japan","subitem_website":"http://www.cc.miyazaki-u.ac.jp/icbdm/"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Hsu Wai Naing"},{"subitem_authors_fullname":"Phyu Thwe"},{"subitem_authors_fullname":"Aye Chan Mon"},{"subitem_authors_fullname":"Naw Naw"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Conference paper"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2018-05-14"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://www.cc.miyazaki-u.ac.jp/icbdm/"},"item_title":"Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithm","item_type_id":"21","owner":"71","path":["1582963674932","1597397050488"],"publish_date":"2021-01-11","publish_status":"0","recid":"7365","relation_version_is_last":true,"title":["Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithm"],"weko_creator_id":"71","weko_shared_id":-1},"updated":"2022-03-24T23:14:55.308418+00:00"}