{"_buckets": {"deposit": "fe10c317-7ff2-4d81-94c0-c67c9d624a80"}, "_deposit": {"id": "3328", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3328"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3328", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Generating the Structured Answer for Feature-based Sentiment Questions from Customer Reviews", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "With the rapid growth the rich opinionatedinformation on various features of product, people aremore interested in opinion questions that canimmediately reflect others’ opinions. Opinion questionanswering is an important research area in opinionmining and Natural Language Processing. Questionanalysis and answer generating are also the importantkeys for this system. A new approach, patternknowledge in linguistic with the POS tagging aredeveloped for feature based sentiment questionsanalysis on the products. This paper also introduces aWordnet based methodology to retrieve the reviewsentences from the customer reviews. Finally, thesystem aggregates the quality review sentences byusing polarity grouping and a simple ranking approachto get the complete set of answer for sentimentquestions"}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "2.Generating the Structured Answer for Feature-based Sentime.pdf", "filesize": [{"value": "64 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 64000.0, "url": {"url": "https://meral.edu.mm/record/3328/files/2.Generating the Structured Answer for Feature-based Sentime.pdf"}, "version_id": "72d3d10c-3ff8-49f3-80d0-b0eff18a5fc4"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conferences on Computer Applications(ICCA 2015)", "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": "War, Nu Nu"}]}]}, "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": "2015-02-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/109"}, "item_title": "Generating the Structured Answer for Feature-based Sentiment Questions from Customer Reviews", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003328", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "3328", "relation": {}, "relation_version_is_last": true, "title": ["Generating the Structured Answer for Feature-based Sentiment Questions from Customer Reviews"], "weko_shared_id": -1}