{"_buckets": {"deposit": "86f2d9e4-033f-4ddf-81c9-54b82fcbf36c"}, "_deposit": {"id": "4465", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4465"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4465", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Extracting Patterns for Feature-based Opinion Words from Customer Reviews", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Most of online Merchants sites allowcustomers to write comments about particularproduct that they have purchased. Customerreviews express opinion about products orservice which are collectively referred to ascustomer feedback data. Opinion extractionabout products from customer reviews isbecoming an interesting area of research.Therefore efficient method and techniques areneeded to extract opinions from reviews. In thispaper we proposed a novel idea to find opinionwords or phrases for each feature from customerreviews in an efficient way. Our focus in thispaper is to get the patterns of opinionwords/phrases about the feature of product fromthe review text through adjective, adverb, verband noun. The extracted features and opinionsare useful for generating a meaningful summarythat can provide significant informative resourceto help the user as well merchants to track themost suitable choice of product."}]}, "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": "2019-11-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10034.pdf", "filesize": [{"value": "545 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 545000.0, "url": {"url": "https://meral.edu.mm/record/4465/files/10034.pdf"}, "version_id": "f59e65ba-a365-4d7c-a430-44317c3f5121"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "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": "Htay, Su Su"}]}]}, "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": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2395"}, "item_title": "Extracting Patterns for Feature-based Opinion Words from Customer Reviews", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004465", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-13"}, "publish_date": "2019-11-13", "publish_status": "0", "recid": "4465", "relation": {}, "relation_version_is_last": true, "title": ["Extracting Patterns for Feature-based Opinion Words from Customer Reviews"], "weko_shared_id": -1}