Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect

Intisar O. Hussien; Kia Dashtipour; Amir Hussain

doi:10.1007/978-3-030-00563-4_60

Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect

Intisar O. Hussien
, Kia Dashtipour^*
, Amir Hussain

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

Sentiment analysis mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the web-based and traditional survey methods commonly conducted by companies for finding the public opinion about their products and services to improve their marketing strategy and product advertisement and help to improve customer service. The online availability of large text makes it important to be analyzed. The automatic analysis of this information involves a deep understanding of natural languages. Sentiments and emotions play a pivotal role in our daily lives. They assist decision-making, learning, communication, and situation awareness in human environments. The importance of processing and understanding dialect text is increasing due to the growth of socially generated dialectal content in social media. In addition to existing materials such as local proverbs, advice and folklore that are found spread on the web. This paper focused on text sentiment analysis as dialect text, as quick review to identify relevant contributions that address languages aspect for a specific dialect.

Original language	English
Title of host publication	Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings
Editors	Amir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
Publisher	Springer Verlag
Pages	615-624
Number of pages	10
ISBN (Print)	9783030005627
DOIs	https://doi.org/10.1007/978-3-030-00563-4_60
State	Published - 2018
Externally published	Yes
Event	9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 - Xi'an, China Duration: 7 Jul 2018 → 8 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10989 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018
Country/Territory	China
City	Xi'an
Period	7/07/18 → 8/07/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Keywords

Affecting analysis
Arabic text
Dialect
Sentiment analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-00563-4_60

Cite this

Hussien, I. O., Dashtipour, K., & Hussain, A. (2018). Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. In A. Hussain, B. Luo, J. Zheng, X. Zhao, C.-L. Liu, J. Ren, & H. Zhao (Eds.), Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings (pp. 615-624). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10989 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-00563-4_60

Hussien, Intisar O. ; Dashtipour, Kia ; Hussain, Amir. / Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. editor / Amir Hussain ; Bin Luo ; Jiangbin Zheng ; Xinbo Zhao ; Cheng-Lin Liu ; Jinchang Ren ; Huimin Zhao. Springer Verlag, 2018. pp. 615-624 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a705662cfb984fc5a02569724683b777,

title = "Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect",

abstract = "Sentiment analysis mainly focused on the automatic recognition of opinions{\textquoteright} polarity, as positive or negative. Nowadays, sentiment analysis is replacing the web-based and traditional survey methods commonly conducted by companies for finding the public opinion about their products and services to improve their marketing strategy and product advertisement and help to improve customer service. The online availability of large text makes it important to be analyzed. The automatic analysis of this information involves a deep understanding of natural languages. Sentiments and emotions play a pivotal role in our daily lives. They assist decision-making, learning, communication, and situation awareness in human environments. The importance of processing and understanding dialect text is increasing due to the growth of socially generated dialectal content in social media. In addition to existing materials such as local proverbs, advice and folklore that are found spread on the web. This paper focused on text sentiment analysis as dialect text, as quick review to identify relevant contributions that address languages aspect for a specific dialect.",

keywords = "Affecting analysis, Arabic text, Dialect, Sentiment analysis",

author = "Hussien, \{Intisar O.\} and Kia Dashtipour and Amir Hussain",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 ; Conference date: 07-07-2018 Through 08-07-2018",

year = "2018",

doi = "10.1007/978-3-030-00563-4\_60",

language = "English",

isbn = "9783030005627",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "615--624",

editor = "Amir Hussain and Bin Luo and Jiangbin Zheng and Xinbo Zhao and Cheng-Lin Liu and Jinchang Ren and Huimin Zhao",

booktitle = "Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings",

address = "Germany",

}

Hussien, IO, Dashtipour, K & Hussain, A 2018, Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. in A Hussain, B Luo, J Zheng, X Zhao, C-L Liu, J Ren & H Zhao (eds), Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10989 LNAI, Springer Verlag, pp. 615-624, 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018, Xi'an, China, 7/07/18. https://doi.org/10.1007/978-3-030-00563-4_60

Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. / Hussien, Intisar O.; Dashtipour, Kia; Hussain, Amir.
Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. ed. / Amir Hussain; Bin Luo; Jiangbin Zheng; Xinbo Zhao; Cheng-Lin Liu; Jinchang Ren; Huimin Zhao. Springer Verlag, 2018. p. 615-624 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10989 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect

AU - Hussien, Intisar O.

AU - Dashtipour, Kia

AU - Hussain, Amir

PY - 2018

Y1 - 2018

N2 - Sentiment analysis mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the web-based and traditional survey methods commonly conducted by companies for finding the public opinion about their products and services to improve their marketing strategy and product advertisement and help to improve customer service. The online availability of large text makes it important to be analyzed. The automatic analysis of this information involves a deep understanding of natural languages. Sentiments and emotions play a pivotal role in our daily lives. They assist decision-making, learning, communication, and situation awareness in human environments. The importance of processing and understanding dialect text is increasing due to the growth of socially generated dialectal content in social media. In addition to existing materials such as local proverbs, advice and folklore that are found spread on the web. This paper focused on text sentiment analysis as dialect text, as quick review to identify relevant contributions that address languages aspect for a specific dialect.

AB - Sentiment analysis mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the web-based and traditional survey methods commonly conducted by companies for finding the public opinion about their products and services to improve their marketing strategy and product advertisement and help to improve customer service. The online availability of large text makes it important to be analyzed. The automatic analysis of this information involves a deep understanding of natural languages. Sentiments and emotions play a pivotal role in our daily lives. They assist decision-making, learning, communication, and situation awareness in human environments. The importance of processing and understanding dialect text is increasing due to the growth of socially generated dialectal content in social media. In addition to existing materials such as local proverbs, advice and folklore that are found spread on the web. This paper focused on text sentiment analysis as dialect text, as quick review to identify relevant contributions that address languages aspect for a specific dialect.

KW - Affecting analysis

KW - Arabic text

KW - Dialect

KW - Sentiment analysis

UR - https://www.scopus.com/pages/publications/85055128164

U2 - 10.1007/978-3-030-00563-4_60

DO - 10.1007/978-3-030-00563-4_60

M3 - Conference contribution

AN - SCOPUS:85055128164

SN - 9783030005627

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 615

EP - 624

BT - Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings

A2 - Hussain, Amir

A2 - Luo, Bin

A2 - Zheng, Jiangbin

A2 - Zhao, Xinbo

A2 - Liu, Cheng-Lin

A2 - Ren, Jinchang

A2 - Zhao, Huimin

PB - Springer Verlag

T2 - 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018

Y2 - 7 July 2018 through 8 July 2018

ER -

Hussien IO, Dashtipour K, Hussain A. Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect. In Hussain A, Luo B, Zheng J, Zhao X, Liu CL, Ren J, Zhao H, editors, Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings. Springer Verlag. 2018. p. 615-624. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00563-4_60

Comparison of Sentiment Analysis Approaches Using Modern Arabic and Sudanese Dialect

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this