{"_buckets": {"deposit": "59b28766-2822-4370-a347-790994fab746"}, "_deposit": {"id": "4673", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4673"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4673", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Due to an exponential growth in the generationof textual data, tools and mechanisms for automaticsummarization of documents is needed. Textsummarization is currently a major research topic inNatural Language Processing. There are variousapproaches to generate text summary. Among them, weproposed Myanmar text summarization using latentsemantic analysis (LSA). Latent semantic analysis(LSA) is a technique in natural language processing, ofanalyzing relationships between a set of documents andthe terms they contain by producing a set of conceptsrelated to the documents and terms. LSA is a retrievalmethod that uses a mathematical technique calledsingular value decomposition (SVD) to identifypatterns in the relationships between the terms andconcepts contained in an unstructured collection oftext. There is no LSA based sentence extraction inMyanmar language. This is the first LSA based TextSummarizer in Myanmar. We summarize Myanmarnews from Myanmar official websites such as 7daydaily, new-eleven, ThithtooLwin, etc."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "text summarization"}, {"interim": "LSA"}]}, "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": "190-196.pdf", "filesize": [{"value": "276 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 276000.0, "url": {"url": "https://meral.edu.mm/record/4673/files/190-196.pdf"}, "version_id": "931e038b-c285-41af-b844-a3fe060a0d71"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Sixteenth International Conferences on Computer Applications(ICCA 2018)", "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": "Lwin, Soe Soe"}, {"subitem_authors_fullname": "Nwet, Khin Thandar"}]}]}, "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": "2018-02-22"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/333"}, "item_title": "Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004673", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4673", "relation": {}, "relation_version_is_last": true, "title": ["Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)"], "weko_shared_id": -1}