MERAL Myanmar Education Research and Learning Portal
AND
Item
{"_buckets": {"deposit": "ada18e90-febf-41d3-afe8-37cf8a2140d7"}, "_deposit": {"created_by": 45, "id": "5350", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "email": "dimennyaung@uit.edu.mm", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5350"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5350"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Assigning Polarity Scores to Facebook Myanmar Movie Comments", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "User-generated texts such as reviews, discussions or comments are valuable indicators of users\u2019 preferences. Apart from binary classification (positive or negative) of the reviews, some researchers calculated polarity scores that give a very concise summary and provide more information of the reviews. In this paper, a system for assigning polarity scores to Facebook Myanmar movie comments is proposed. Myanmar is a language with underdeveloped electric resources. As this is pioneering work for this combination of language and sentiment analysis, the polarity scores of each positive and negative word in the movie domain-specific polarity lexicon is calculated. And then the polarity scores to each comment of the plain text movie corpus are assigned. The proposed system achieves 89% and 85% accuracy on positive and negative opinion words respectively in the evaluation of polarity score lexicon. We also make the comment polarity for 3-class evaluation and 5-class evaluation based on the scores of comments."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Polarity score lexicon"}, {"interim": "Plain text corpus"}, {"interim": "Facebook movie comments"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-09-14"}], "displaytype": "preview", "download_preview_message": "", "filename": "Assigning Polarity Scores to Facebook Myanmar Movie Comments.pdf", "filesize": [{"value": "692 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "size": 692000, "url": {"url": "https://meral.edu.mm/record/5350/files/Assigning Polarity Scores to Facebook Myanmar Movie Comments.pdf"}, "version_id": "75d472be-402d-4367-a191-ca7885ae3f91"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "International Journal of Computer Applications", "subitem_pages": "24-29", "subitem_volume": "Volume 177, No.6"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win Win Thant"}, {"subitem_authors_fullname": "Nyein Thwet Thwet Aung"}, {"subitem_authors_fullname": "Su Su Htay"}, {"subitem_authors_fullname": "Khine Khine Htwe"}, {"subitem_authors_fullname": "Kay Thi Yar"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Journal article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2017-11-06"}, "item_title": "Assigning Polarity Scores to Facebook Myanmar Movie Comments", "item_type_id": "21", "owner": "45", "path": ["1582963342780/1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005350", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-14"}, "publish_date": "2020-09-14", "publish_status": "0", "recid": "5350", "relation": {}, "relation_version_is_last": true, "title": ["Assigning Polarity Scores to Facebook Myanmar Movie Comments"], "weko_shared_id": -1}
Assigning Polarity Scores to Facebook Myanmar Movie Comments
http://hdl.handle.net/20.500.12678/0000005350
0cbc648a-f62b-4824-9745-975525b1c85b
ada18e90-febf-41d3-afe8-37cf8a2140d7
Name / File | License | Actions | |
---|---|---|---|
![]() |
Publication type | Journal article | |||||
---|---|---|---|---|---|---|
Upload type | Publication | |||||
Title | ||||||
Assigning Polarity Scores to Facebook Myanmar Movie Comments | ||||||
en | ||||||
Publication date | 2017-11-06 | |||||
Authors | ||||||
Win Win Thant | ||||||
Nyein Thwet Thwet Aung | ||||||
Su Su Htay | ||||||
Khine Khine Htwe | ||||||
Kay Thi Yar | ||||||
Description | ||||||
User-generated texts such as reviews, discussions or comments are valuable indicators of users’ preferences. Apart from binary classification (positive or negative) of the reviews, some researchers calculated polarity scores that give a very concise summary and provide more information of the reviews. In this paper, a system for assigning polarity scores to Facebook Myanmar movie comments is proposed. Myanmar is a language with underdeveloped electric resources. As this is pioneering work for this combination of language and sentiment analysis, the polarity scores of each positive and negative word in the movie domain-specific polarity lexicon is calculated. And then the polarity scores to each comment of the plain text movie corpus are assigned. The proposed system achieves 89% and 85% accuracy on positive and negative opinion words respectively in the evaluation of polarity score lexicon. We also make the comment polarity for 3-class evaluation and 5-class evaluation based on the scores of comments. | ||||||
Keywords | ||||||
Polarity score lexicon | ||||||
Keywords | ||||||
Plain text corpus | ||||||
Keywords | ||||||
Facebook movie comments | ||||||
Journal articles | ||||||
International Journal of Computer Applications | ||||||
24-29 | ||||||
Volume 177, No.6 |