ASAD: Arabic social media analytics and understanding

Sabit Hassan; Hamdy Mubarak; Ahmed Abdelali; Kareem Darwish

ASAD: Arabic social media analytics and understanding

Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish

Qatar Computing Research Institute

Hamad bin Khalifa University

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

24 Citations (Scopus)

Abstract

This system demonstration paper describes the Arabic Social media Analysis and unDerstanding (ASAD) toolkit, which is a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets¹. The suite is made available through a web API and a web interface where users can enter text or upload files.

Original language	English
Title of host publication	EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations
Publisher	Association for Computational Linguistics (ACL)
Pages	113-118
Number of pages	6
ISBN (Electronic)	9781954085053
Publication status	Published - 2021
Event	16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021 - Virtual, Online Duration: 19 Apr 2021 → 23 Apr 2021

Publication series

Name	EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations

Conference

Conference	16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021
City	Virtual, Online
Period	19/04/21 → 23/04/21

Cite this

Hassan, S., Mubarak, H., Abdelali, A., & Darwish, K. (2021). ASAD: Arabic social media analytics and understanding. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations (pp. 113-118). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations). Association for Computational Linguistics (ACL).

Hassan, Sabit ; Mubarak, Hamdy ; Abdelali, Ahmed et al. / ASAD : Arabic social media analytics and understanding. EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations. Association for Computational Linguistics (ACL), 2021. pp. 113-118 (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations).

@inproceedings{170851a259644b4688a19ce6f9e51c96,

title = "ASAD: Arabic social media analytics and understanding",

abstract = "This system demonstration paper describes the Arabic Social media Analysis and unDerstanding (ASAD) toolkit, which is a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets1. The suite is made available through a web API and a web interface where users can enter text or upload files.",

author = "Sabit Hassan and Hamdy Mubarak and Ahmed Abdelali and Kareem Darwish",

note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics; 16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021 ; Conference date: 19-04-2021 Through 23-04-2021",

year = "2021",

language = "English",

series = "EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations",

publisher = "Association for Computational Linguistics (ACL)",

pages = "113--118",

booktitle = "EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations",

address = "United States",

}

Hassan, S, Mubarak, H, Abdelali, A & Darwish, K 2021, ASAD: Arabic social media analytics and understanding. in EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations. EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations, Association for Computational Linguistics (ACL), pp. 113-118, 16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021, Virtual, Online, 19/04/21.

ASAD: Arabic social media analytics and understanding. / Hassan, Sabit; Mubarak, Hamdy; Abdelali, Ahmed et al.
EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations. Association for Computational Linguistics (ACL), 2021. p. 113-118 (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations).

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

TY - GEN

T1 - ASAD

T2 - 16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021

AU - Hassan, Sabit

AU - Mubarak, Hamdy

AU - Abdelali, Ahmed

AU - Darwish, Kareem

PY - 2021

Y1 - 2021

N2 - This system demonstration paper describes the Arabic Social media Analysis and unDerstanding (ASAD) toolkit, which is a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets1. The suite is made available through a web API and a web interface where users can enter text or upload files.

AB - This system demonstration paper describes the Arabic Social media Analysis and unDerstanding (ASAD) toolkit, which is a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets1. The suite is made available through a web API and a web interface where users can enter text or upload files.

UR - http://www.scopus.com/inward/record.url?scp=85104676396&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85104676396

T3 - EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations

SP - 113

EP - 118

BT - EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations

PB - Association for Computational Linguistics (ACL)

Y2 - 19 April 2021 through 23 April 2021

ER -

Hassan S, Mubarak H, Abdelali A, Darwish K. ASAD: Arabic social media analytics and understanding. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations. Association for Computational Linguistics (ACL). 2021. p. 113-118. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations).

ASAD: Arabic social media analytics and understanding

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