Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)

Lwin, Soe Soe; Nwet, Khin Thandar

MERAL Myanmar Education Research and Learning Portal

Index Tree

RootNode
- Co-operative College, Mandalay
- Cooperative College, Phaunggyi
- Co-operative University, Sagaing
- Co-operative University, Thanlyin
- Dagon University
- Kyaukse University
- Laquarware Technological college
- Mandalay Technological University
- Mandalay University of Distance Education
- Mandalay University of Foreign Languages
- Maubin University
- Mawlamyine University
- Meiktila University
- Mohnyin University
- Myanmar Institute of Information Technology
- Myanmar Maritime University
- National Management Degree College
- Naypyitaw State Academy
- Pathein University
- Sagaing University
- Sagaing University of Education
- Taunggyi University
- Technological University, Hmawbi
- Technological University (Kyaukse)
- Technological University Mandalay
- University of Computer Studies, Mandalay
- University of Computer Studies Maubin
- University of Computer Studies, Meikhtila
- University of Computer Studies Pathein
- University of Computer Studies, Taungoo
- University of Computer Studies, Yangon
- University of Dental Medicine Mandalay
- University of Dental Medicine, Yangon
- University of Information Technology
- University of Mandalay
- University of Medicine 1
- University of Medicine 2
- University of Medicine Mandalay
- University of Myitkyina
- University of Public Health, Yangon
- University of Veterinary Science
- University of Yangon
- West Yangon University
- Yadanabon University
- Yangon Technological University
- Yangon University of Distance Education
- Yangon University of Economics
- Yangon University of Education
- Yangon University of Foreign Languages
- Yezin Agricultural University
- New Index

Item

{"_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}

Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)

http://hdl.handle.net/20.500.12678/0000004673

Preview

Name / File	License	Actions
190-196.pdf (276 Kb)

Publication type
		Article
Upload type
		Publication
Title
	Title	Single-Document Myanmar Text Summarization using Latent Semantic Analysis (LSA)
	Language	en
Publication date		2018-02-22
Authors
		Lwin, Soe Soe
		Nwet, Khin Thandar
Description
		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.
Keywords
		text summarization, LSA
Identifier		http://onlineresource.ucsy.edu.mm/handle/123456789/333
Journal articles
		Sixteenth International Conferences on Computer Applications(ICCA 2018)
Conference papers
Books/reports/chapters
Thesis/dissertations