{"created":"2020-12-11T15:49:24.624403+00:00","id":6746,"links":{},"metadata":{"_buckets":{"deposit":"041db581-e33a-458d-b567-b6f9d17ffe51"},"_deposit":{"created_by":45,"id":"6746","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"depid","value":"6746"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00006746","sets":["1582963342780:1596102355557"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Automatic Acquisition of Opinion Words from Myanmar Facebook Movie Comments","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper presents a method for the automatic acquisition of new Myanmar opinion words based on syllable n-gram frequencies, since the Myanmar language uses a syllabic writing system. There is a need for the automatic construction of opinion lexicons for any specific domain, and the proposed method makes it possible to construct an opinion lexicon for Myanmar movies using a bootstrapping approach. We use Myanmar movie comments from Facebook, a popular social network, as a corpus, and determine the valence or polarity of the comments (positive or negative) using a small number of opinion words. These opinion words are then extracted from polarity-identified Facebook comments. Our proposed method is based on n-grams of syllables without word segmentation, since Myanmar is an under-resourced language and no public tool exists for word segmentation."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Opinion lexicon"},{"interim":"Myanmar movie comments"},{"interim":"n-gram syllables"},{"interim":"bootstrapping"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-12-11"}],"displaytype":"preview","filename":"15. Automatic Acquisition of Opinion Words from Myanmar Facebook Movie Comments.pdf","filesize":[{"value":"381 Kb"}],"format":"application/pdf","url":{"url":"https://meral.edu.mm/api/files/041db581-e33a-458d-b567-b6f9d17ffe51/15.%20Automatic%20Acquisition%20of%20Opinion%20Words%20from%20Myanmar%20Facebook%20Movie%20Comments.pdf"},"version_id":"a5def6a8-db36-4060-b341-c61d09cfd206"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"LREC 2018 Workshop","subitem_c_date":"7-8 May, 2018","subitem_conference_title":"The 13th Workshop on Asian Language Resources (ALR13)"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Win Win Thant"},{"subitem_authors_fullname":"Kiyoaki Shirai"}]}]},"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":"2018-05-08"},"item_title":"Automatic Acquisition of Opinion Words from Myanmar Facebook Movie Comments","item_type_id":"21","owner":"45","path":["1596102355557"],"publish_date":"2020-12-11","publish_status":"0","recid":"6746","relation_version_is_last":true,"title":["Automatic Acquisition of Opinion Words from Myanmar Facebook Movie Comments"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2021-12-13T05:08:55.654415+00:00"}