{"_buckets": {"deposit": "4658f8c3-07d4-4702-9da5-fe81e3c75cc2"}, "_deposit": {"created_by": 45, "id": "2934", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "2934"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/2934", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Improved Feature-based Summarizing and Mining from Hotel Customer Reviews", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Due to the rapid increase of Internet, web\nopinion sources dynamically emerge which is\nuseful for both potential customers and product\nmanufacturers for prediction and decision\npurposes. These are the user generated contents\nwritten in natural languages and are\nunstructured-free-texts scheme. Therefore,\nopinion mining techniques become popular to\nautomatically process customer reviews for\nextracting product features and user opinions\nexpressed over them. Since customer reviews\nmay contain both opinionated and factual\nsentences, a supervised machine learning\ntechnique applies for subjectivity classification\nto improve the mining performance. In this\npaper, we dedicate our work to the main subtask\nof opinion summarization. The task of product\nfeature and opinion extraction is critical to\nopinion summarization, because its effectiveness\nsignificantly affects the identification of semantic\nrelationships. The polarity and numeric score of\nall the features are determined by Senti-WordNet\nLexicon how intense the opinion is for both\npositive and negative features. The problem of\nopinion summarization refers how to relate the\nopinion words with respect to a certain feature.\nProbabilistic based model of supervised learning\nwill improve the result that is more flexible and\neffective."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Opinion Mining"}, {"interim": "Summarization"}, {"interim": "SentiWordNet"}, {"interim": "Text Mining"}, {"interim": "Sentiment Analysis."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-08-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Improved Feature-based Summarizing and Mining from Hotel Customer Reviews.pdf", "filesize": [{"value": "495 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 495000.0, "url": {"url": "https://meral.edu.mm/record/2934/files/Improved Feature-based Summarizing and Mining from Hotel Customer Reviews.pdf"}, "version_id": "f6cfd076-22e2-43d5-911b-3fa5a35e62af"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICCA 2015", "subitem_c_date": "5-6 February, 2015", "subitem_conference_title": "13th International Conference on Computer Applications", "subitem_place": "Sedona Hotel, Yangon, Myanmar", "subitem_website": "https://www.ucsy.edu.mm/ThirteenthICCA.do"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Dim En Nyaung"}, {"subitem_authors_fullname": "Thin Lai Lai Thein"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-02-06"}, "item_title": "Improved Feature-based Summarizing and Mining from Hotel Customer Reviews", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000002934", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-06"}, "publish_date": "2020-08-06", "publish_status": "0", "recid": "2934", "relation": {}, "relation_version_is_last": true, "title": ["Improved Feature-based Summarizing and Mining from Hotel Customer Reviews"], "weko_shared_id": -1}