{"_buckets": {"deposit": "349b7e24-14c2-4530-b8a4-73003d1d0b6a"}, "_deposit": {"created_by": 45, "id": "2916", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "2916"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/2916", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Feature-based Summarizing of 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 unstructuredfree-\ntexts scheme. Therefore, opinion mining\ntechniques become popular to automatically\nprocess customer reviews for extracting product\nfeatures and user opinions expressed over them.\nSince customer reviews may contain both\nopinionated and factual sentences, a supervised\nmachine learning technique applies for subjectivity\nclassification to improve the mining performance.\nIn this paper, we dedicate our work to the main\nsubtask of opinion summarization. The task of\nproduct feature and opinion extraction is critical\nto opinion 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": "Feature-based Ranking"}, {"interim": "SentiWordNet"}]}, "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": "Feature-based Summarizing of Hotel Customer Reviews.pdf", "filesize": [{"value": "371 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 371000.0, "url": {"url": "https://meral.edu.mm/record/2916/files/Feature-based Summarizing of Hotel Customer Reviews.pdf"}, "version_id": "c66709f5-f4c4-461d-ac2c-5ab60a910fbb"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICCA 2014", "subitem_c_date": "17-18 February, 2014", "subitem_conference_title": "12th International Conference on Computer Applications", "subitem_place": "Sedona Hotel, Yangon, Myanmar", "subitem_website": "https://www.ucsy.edu.mm/TwelfthIcca.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": "2014-02-18"}, "item_title": "Feature-based Summarizing of Hotel Customer Reviews", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000002916", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-06"}, "publish_date": "2020-08-06", "publish_status": "0", "recid": "2916", "relation": {}, "relation_version_is_last": true, "title": ["Feature-based Summarizing of Hotel Customer Reviews"], "weko_shared_id": -1}