Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study
With the expansion in tenders on the Internet and social media, Arabic Sentiment Analysis (ASA) has assumed a significant position in the field of text mining study and has since remained used to explore the sentiments of users about services, various products or topics conversed over the Internet....
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| creator | Abo, Mohamed Elhag M Raj, Ram Gopal Qazi, Atika Zakari, Abubakar |
| description | With the expansion in tenders on the Internet and social media, Arabic
Sentiment Analysis (ASA) has assumed a significant position in the field of
text mining study and has since remained used to explore the sentiments of
users about services, various products or topics conversed over the Internet.
This mapping paper designs to comprehensively investigate the papers
demographics, fertility, and directions of the ASA research domain.
Furthermore, plans to analyze current ASA techniques and find movements in the
research. This paper describes a systematic mapping study (SMS) of 51 primary
selected studies (PSS) is handled with the approval of an evidence-based
systematic method to ensure handling of all related papers. The analyzed
results showed the increase of both the ASA research area and numbers of
publications per year since 2015. Three main research facets were found, i.e.
validation, solution, and evaluation research, with solution research becoming
more treatment than another research type. Therefore numerous contribution
facets were singled out. In totality, the general demographics of the ASA
research field were highlighted and discussed |
| doi_str_mv | 10.48550/arxiv.1911.05483 |
| format | Article |
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Sentiment Analysis (ASA) has assumed a significant position in the field of
text mining study and has since remained used to explore the sentiments of
users about services, various products or topics conversed over the Internet.
This mapping paper designs to comprehensively investigate the papers
demographics, fertility, and directions of the ASA research domain.
Furthermore, plans to analyze current ASA techniques and find movements in the
research. This paper describes a systematic mapping study (SMS) of 51 primary
selected studies (PSS) is handled with the approval of an evidence-based
systematic method to ensure handling of all related papers. The analyzed
results showed the increase of both the ASA research area and numbers of
publications per year since 2015. Three main research facets were found, i.e.
validation, solution, and evaluation research, with solution research becoming
more treatment than another research type. Therefore numerous contribution
facets were singled out. In totality, the general demographics of the ASA
research field were highlighted and discussed</description><identifier>DOI: 10.48550/arxiv.1911.05483</identifier><language>eng</language><subject>Computer Science - Computation and Language ; Computer Science - Social and Information Networks</subject><creationdate>2019-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a1153-e9892ef5c3bda7d90698e39a6fd771b3372b4180419f326c119699ae5bdf54a03</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1911.05483$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1911.05483$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Abo, Mohamed Elhag M</creatorcontrib><creatorcontrib>Raj, Ram Gopal</creatorcontrib><creatorcontrib>Qazi, Atika</creatorcontrib><creatorcontrib>Zakari, Abubakar</creatorcontrib><title>Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study</title><description>With the expansion in tenders on the Internet and social media, Arabic
Sentiment Analysis (ASA) has assumed a significant position in the field of
text mining study and has since remained used to explore the sentiments of
users about services, various products or topics conversed over the Internet.
This mapping paper designs to comprehensively investigate the papers
demographics, fertility, and directions of the ASA research domain.
Furthermore, plans to analyze current ASA techniques and find movements in the
research. This paper describes a systematic mapping study (SMS) of 51 primary
selected studies (PSS) is handled with the approval of an evidence-based
systematic method to ensure handling of all related papers. The analyzed
results showed the increase of both the ASA research area and numbers of
publications per year since 2015. Three main research facets were found, i.e.
validation, solution, and evaluation research, with solution research becoming
more treatment than another research type. Therefore numerous contribution
facets were singled out. In totality, the general demographics of the ASA
research field were highlighted and discussed</description><subject>Computer Science - Computation and Language</subject><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz8tOxCAYBWA2LszoA7iSF2jlL9CCu2biLZnRmOq6-SlgiL2F4qVv7zi6OWdzcpKPkAtguVBSsiuM3-EzBw2QMykUPyXPjRtTGA5B6xH7dQkL9VOkdUQTOhpG2kxdwJ7unQ1IH136muL7Na1psy7JDZgOqz3OcxjfaJM-7HpGTjz2izv_7w15vb152d5nu6e7h229yxBA8sxppQvnZceNxcpqVmrluMbS26oCw3lVGAGKCdCeF2UHoEut0UljvRTI-IZc_v0eUe0cw4BxbX9x7RHHfwBcNkkm</recordid><startdate>20191026</startdate><enddate>20191026</enddate><creator>Abo, Mohamed Elhag M</creator><creator>Raj, Ram Gopal</creator><creator>Qazi, Atika</creator><creator>Zakari, Abubakar</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20191026</creationdate><title>Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study</title><author>Abo, Mohamed Elhag M ; Raj, Ram Gopal ; Qazi, Atika ; Zakari, Abubakar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a1153-e9892ef5c3bda7d90698e39a6fd771b3372b4180419f326c119699ae5bdf54a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Science - Computation and Language</topic><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Abo, Mohamed Elhag M</creatorcontrib><creatorcontrib>Raj, Ram Gopal</creatorcontrib><creatorcontrib>Qazi, Atika</creatorcontrib><creatorcontrib>Zakari, Abubakar</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Abo, Mohamed Elhag M</au><au>Raj, Ram Gopal</au><au>Qazi, Atika</au><au>Zakari, Abubakar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study</atitle><date>2019-10-26</date><risdate>2019</risdate><abstract>With the expansion in tenders on the Internet and social media, Arabic
Sentiment Analysis (ASA) has assumed a significant position in the field of
text mining study and has since remained used to explore the sentiments of
users about services, various products or topics conversed over the Internet.
This mapping paper designs to comprehensively investigate the papers
demographics, fertility, and directions of the ASA research domain.
Furthermore, plans to analyze current ASA techniques and find movements in the
research. This paper describes a systematic mapping study (SMS) of 51 primary
selected studies (PSS) is handled with the approval of an evidence-based
systematic method to ensure handling of all related papers. The analyzed
results showed the increase of both the ASA research area and numbers of
publications per year since 2015. Three main research facets were found, i.e.
validation, solution, and evaluation research, with solution research becoming
more treatment than another research type. Therefore numerous contribution
facets were singled out. In totality, the general demographics of the ASA
research field were highlighted and discussed</abstract><doi>10.48550/arxiv.1911.05483</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Computation and Language Computer Science - Social and Information Networks |
| title | Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study |
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