{"_buckets": {"deposit": "5e3cd64b-fcb5-4b8f-a348-f5ad06844531"}, "_deposit": {"created_by": 45, "id": "2912", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "2912"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/2912", "sets": ["user-uit"]}, "communities": ["uit"], "control_number": "2912", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Feature-Based Opinion Mining Using Ontological Resources", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "One of the important types of information on\nthe Web is the opinions expressed in the user\ngenerated content, e.g., customer reviews of\nproducts, forum posts, and blogs. Customer\nreviews of products are focused in this paper.\nMining opinion data that reside in web is a way to\ntrack opinions of people on specific product.\nOpinion mining is a recent subdiscipline of\ncomputational linguistics which is concerned not\nwith the topic a document is about, but with the\nopinion it expresses. To aid the extraction of\nopinions from text, recent work has tackled the\nissue of determining the orientation of subjective\nterms contained in text, i.e. deciding whether a\nterm that carries opinionated content has a\npositive or a negative connotation. In this paper\nthe task of deciding whether a given term has a\npositive connotation, or a negative connotation by\nusing feature-based opinion mining with ontology\nwhere opinions expressed towards each feature of\nan object or a product are extracted and\nsummarized. In this context, the goal is to study the\nrole of domain ontology to structure and extract\nobject features as well as to produce a\ncomprehensive summary."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Opinion Mining"}, {"interim": "Ontology"}]}, "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 Opinion Mining Using Ontological Resources.pdf", "filesize": [{"value": "395 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 395000.0, "url": {"url": "https://meral.edu.mm/record/2912/files/Feature-Based Opinion Mining Using Ontological Resources.pdf"}, "version_id": "72cb2d75-6b88-414d-bd75-37b7f35d8d76"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICCA 2013", "subitem_c_date": "26-27 February, 2013", "subitem_conference_title": "11th International Conference on Computer Applications", "subitem_place": "Sedona Hotel, Yangon, Myanmar", "subitem_website": "https://www.ucsy.edu.mm/EleventhIccaN.do"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Dim En Nyaung"}]}]}, "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": "2013-02-27"}, "item_title": "Feature-Based Opinion Mining Using Ontological Resources", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000002912", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-06"}, "publish_date": "2020-08-06", "publish_status": "0", "recid": "2912", "relation": {}, "relation_version_is_last": true, "title": ["Feature-Based Opinion Mining Using Ontological Resources"], "weko_shared_id": -1}