Feature Extraction Method for Aspect-Based Sentiment Analysis

Win Lei Kay Khine; Nyein Thwet Thwet Aung; Thet Thet Zin

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": "fc8b9e02-fe75-4e60-a501-3e9e0963deff"}, "_deposit": {"created_by": 45, "id": "6638", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "6638"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00006638", "sets": ["1605779935331", "user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Feature Extraction Method for Aspect-Based Sentiment Analysis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In our daily life, we take opinions of our friends and we\nare influenced in decision making process. Opinion is\nthe view or the judgment about something. Opinion\nMining (OM) or Sentiment Analysis (SA) is the\ncomputational analysis of public’s opinion, emotion,\nsentiments, and attitude toward entities and their\nattributes expressed in written text. These entities may\nbe products, services, organizations, individuals, events,\nissues, or topics. In sentiment analysis, formal and\ninformal opinion text like product reviews, news\narticles, tweets, forum discussions, blogs, and Facebook\nposts are also applicable to all domains. The main\npurpose of sentiment analysis is to extract the main\nopinions, on which the decision can be made very right.\nPaper intends to classify sentiment polarity on product\nreview datasets by using Mutual Information as a\nfeature selection method. Because product reviews are\nhighly focused and they are opinion rich. After the\nfeature selection, we aim to classify the extracted\nfeatures with Naïve Bayes, SVM and Maximum Entropy\nto get the accurate sentiment polarity."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Sentiment Analysis"}, {"interim": "Opinion Mining"}, {"interim": "Feature Selection"}, {"interim": "Feature Extraction"}, {"interim": "Aspect-Based Sentiment Analysis"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-26"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Feature Extraction Method for Aspect-Based Sentiment Analysis.pdf", "filesize": [{"value": "375 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 375000.0, "url": {"url": "https://meral.edu.mm/api/files/fc8b9e02-fe75-4e60-a501-3e9e0963deff/Feature%20Extraction%20Method%20for%20Aspect-Based%20Sentiment%20Analysis.pdf"}, "version_id": "e18e829a-a80c-4864-8e15-8d38daa606f5"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICAIT-2017", "subitem_c_date": "1-2 November, 2017", "subitem_conference_title": "1st International Conference on Advanced Information Technologies", "subitem_place": "Yangon, Myanmar", "subitem_session": "Workshop Session", "subitem_website": "https://www.uit.edu.mm/icait-2017/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win Lei Kay Khine"}, {"subitem_authors_fullname": "Nyein Thwet Thwet Aung"}, {"subitem_authors_fullname": "Thet Thet Zin"}]}]}, "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": "2017-11-02"}, "item_title": "Feature Extraction Method for Aspect-Based Sentiment Analysis", "item_type_id": "21", "owner": "45", "path": ["1605779935331"], "permalink_uri": "https://meral.edu.mm/records/6638", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-26"}, "publish_date": "2020-11-26", "publish_status": "0", "recid": "6638", "relation": {}, "relation_version_is_last": true, "title": ["Feature Extraction Method for Aspect-Based Sentiment Analysis"], "weko_shared_id": -1}

Feature Extraction Method for Aspect-Based Sentiment Analysis

https://meral.edu.mm/records/6638

Name / File	License	Actions
Feature Extraction Method for Aspect-Based Sentiment Analysis.pdf (375 Kb)

Publication type
		Conference paper
Upload type
		Publication
Title
	Title	Feature Extraction Method for Aspect-Based Sentiment Analysis
	Language	en
Publication date		2017-11-02
Authors
		Win Lei Kay Khine
		Nyein Thwet Thwet Aung
		Thet Thet Zin
Description
		In our daily life, we take opinions of our friends and we are influenced in decision making process. Opinion is the view or the judgment about something. Opinion Mining (OM) or Sentiment Analysis (SA) is the computational analysis of public’s opinion, emotion, sentiments, and attitude toward entities and their attributes expressed in written text. These entities may be products, services, organizations, individuals, events, issues, or topics. In sentiment analysis, formal and informal opinion text like product reviews, news articles, tweets, forum discussions, blogs, and Facebook posts are also applicable to all domains. The main purpose of sentiment analysis is to extract the main opinions, on which the decision can be made very right. Paper intends to classify sentiment polarity on product review datasets by using Mutual Information as a feature selection method. Because product reviews are highly focused and they are opinion rich. After the feature selection, we aim to classify the extracted features with Naïve Bayes, SVM and Maximum Entropy to get the accurate sentiment polarity.
Keywords
		Sentiment Analysis, Opinion Mining, Feature Selection, Feature Extraction, Aspect-Based Sentiment Analysis
Conference papers
		ICAIT-2017
		1-2 November, 2017
		1st International Conference on Advanced Information Technologies
		Yangon, Myanmar
		Workshop Session
		https://www.uit.edu.mm/icait-2017/

Back

views

downloads

See details

	Views	Downloads

Versions

Ver.1

2020-11-26 08:59:52.782246

Show All versions

Export

OAI-PMH

DublinCore

Other Formats

JSON

Index Link

Index Tree

Item

Feature Extraction Method for Aspect-Based Sentiment Analysis

Versions

Share

Export