{"_buckets": {"deposit": "a0764f8f-d0db-457b-baeb-1115c48e89d3"}, "_deposit": {"id": "4863", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4863"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4863", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Feature-based Ranking of Opinion Mining System from Customer Reviews", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Nowadays, online customer reviews become asignificant informative resource due to the rapiddevelopment of web. In a webpage, the reviews arewritten in natural language and are unstructuredfree-texts scheme. To overcome the task of manuallyscanning through large amount of review one by one,people have interested to automatically process thevarious reviews and to provide the necessaryinformation which is useful for both potentialcustomers and product manufactures, in a suitableform. By applying dependency relations andontological knowledge, it can properly identify thesemantic relationships between product features andopinions. It also finds the numeric score of all thefeatures using SentiWordNet. The proposed systemcan specify the features in descending order ofimportance. We offer an approach for considering analternative approach to discover the customeropinion about tourism products, particularly hotels,using opinions available on the Web as reviews."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Opinion Mining"}, {"interim": "Feature-based Ranking"}, {"interim": "SentiWordNet"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-02"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "12015.pdf", "filesize": [{"value": "91 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 91000.0, "url": {"url": "https://meral.edu.mm/record/4863/files/12015.pdf"}, "version_id": "887cb20a-9ae0-4093-8cf1-5aa338a4745b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Thein, Thin Lai Lai"}, {"subitem_authors_fullname": "Nyaung, Dim En"}]}]}, "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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/76"}, "item_title": "Feature-based Ranking of Opinion Mining System from Customer Reviews", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004863", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-02"}, "publish_date": "2019-07-02", "publish_status": "0", "recid": "4863", "relation": {}, "relation_version_is_last": true, "title": ["Feature-based Ranking of Opinion Mining System from Customer Reviews"], "weko_shared_id": -1}