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Subjectivity analysis in opinion mining - A systematic literature review

Subjectivity analysis determines existence of subjectivity in text using subjective clues.It is the first task in opinion mining process.The difference between subjectivity analysis and polarity determination is the latter process subjective text to determine the orientation as positive or negative....

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Main Authors: Basiron, Halizah, Kasmuri, Emaliana
Format: Article
Language:English
Published: International Center for Scientific Research and Studies 2017
Subjects:
H Social Sciences (General)
HF Commerce
Online Access:http://eprints.utem.edu.my/id/eprint/21529/2/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf
http://eprints.utem.edu.my/id/eprint/21529/
http://home.ijasca.com/data/documents/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf
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spelling my.utem.eprints.215292023-07-12T11:51:57Z http://eprints.utem.edu.my/id/eprint/21529/ Subjectivity analysis in opinion mining - A systematic literature review Basiron, Halizah Kasmuri, Emaliana H Social Sciences (General) HF Commerce Subjectivity analysis determines existence of subjectivity in text using subjective clues.It is the first task in opinion mining process.The difference between subjectivity analysis and polarity determination is the latter process subjective text to determine the orientation as positive or negative.There were many techniques used to solve the problem of segregating subjective and objective text.This paper used systematic literature review (SLR) to compile the undertaking study in subjective analysis.SLR is a literature review that collects multiple and critically analyse multiple studies to answer the research questions.Eight research questions were drawn for this purpose.Information such as technique,corpus,subjective clues representation and performance were extracted from 97 articles known as primary studies.This information was analysed to identify the strengths and weaknesses of the technique,affecting elements to the performance and missing elements from the subjectivity analysis.The SLR has found that majority of the study are using machine learning approach to identify and learn subjective text due to the nature of subjectivity analysis problem that is viewed as classification problem.The performance of this approach outperformed other approaches though currently it is at satisfactory level.Therefore,more studies are needed to improve the performance of subjectivity analysis. International Center for Scientific Research and Studies 2017 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21529/2/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf Basiron, Halizah and Kasmuri, Emaliana (2017) Subjectivity analysis in opinion mining - A systematic literature review. International Journal Of Advances In Soft Computing & Its Applications (Ijasca), 9 (3). pp. 132-159. ISSN 2074-8523 http://home.ijasca.com/data/documents/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic H Social Sciences (General)
HF Commerce
spellingShingle H Social Sciences (General)
HF Commerce
Basiron, Halizah
Kasmuri, Emaliana
Subjectivity analysis in opinion mining - A systematic literature review
description Subjectivity analysis determines existence of subjectivity in text using subjective clues.It is the first task in opinion mining process.The difference between subjectivity analysis and polarity determination is the latter process subjective text to determine the orientation as positive or negative.There were many techniques used to solve the problem of segregating subjective and objective text.This paper used systematic literature review (SLR) to compile the undertaking study in subjective analysis.SLR is a literature review that collects multiple and critically analyse multiple studies to answer the research questions.Eight research questions were drawn for this purpose.Information such as technique,corpus,subjective clues representation and performance were extracted from 97 articles known as primary studies.This information was analysed to identify the strengths and weaknesses of the technique,affecting elements to the performance and missing elements from the subjectivity analysis.The SLR has found that majority of the study are using machine learning approach to identify and learn subjective text due to the nature of subjectivity analysis problem that is viewed as classification problem.The performance of this approach outperformed other approaches though currently it is at satisfactory level.Therefore,more studies are needed to improve the performance of subjectivity analysis.
format Article
author Basiron, Halizah
Kasmuri, Emaliana
author_facet Basiron, Halizah
Kasmuri, Emaliana
author_sort Basiron, Halizah
title Subjectivity analysis in opinion mining - A systematic literature review
title_short Subjectivity analysis in opinion mining - A systematic literature review
title_full Subjectivity analysis in opinion mining - A systematic literature review
title_fullStr Subjectivity analysis in opinion mining - A systematic literature review
title_full_unstemmed Subjectivity analysis in opinion mining - A systematic literature review
title_sort subjectivity analysis in opinion mining - a systematic literature review
publisher International Center for Scientific Research and Studies
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/21529/2/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf
http://eprints.utem.edu.my/id/eprint/21529/
http://home.ijasca.com/data/documents/7_Pg-132_159_Subjectivity-Analysis-in-Opinion-Mining-A-Systematic-Literature-Review.pdf
_version_ 1772816009466478592
score 13.211869

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