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Anis Charfi

Biographic Data

ID8539436
NAMEAnis Charfi
GIVEN NAMESAnis
FAMILY NAMECharfi
SIGNATURECHARFI A
AFFILIATIONSCarnegie Mellon University Qatar
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Stance detection in Arabic with a multi-dialectal cross-domain stance corpus

    Open Access•Anis Charfi, Mabrouka Bessghaier et al.•ARTICLE•Social Network Analysis and Mining•2024

    We present a cross-domain and multi-dialectal stance corpus for Arabic, covering the major dialect groups and four Arab regions. This research provides an important language resource for automating the task of stance detection in Dialectal Arabic while carefully considering the subtle differences in stance expression across various dialects. More than 4500 sentences in our corpus have been carefully annotated according to their stance with regard…

  • A survey on author profiling, deception, and irony detection for the Arabic language

    Open Access•Paolo Rosso, Francisco Rangel et al.•ARTICLE•Language and Linguistics Compass•2018

    The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user lies, simply by analyzing her texts, opens a wide range of possibilities from the point of view of security. In this paper, we review the state of the art about some of the main author profiling problems, as well as deception and iron…

No prominent works on this page.

  • A survey on author profiling, deception, and irony detection for the Arabic language

    Open Access•Paolo Rosso, Francisco Rangel et al.•ARTICLE•Language and Linguistics Compass•2018

    The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user lies, simply by analyzing her texts, opens a wide range of possibilities from the point of view of security. In this paper, we review the state of the art about some of the main author profiling problems, as well as deception and iron…

  • Stance detection in Arabic with a multi-dialectal cross-domain stance corpus

    Open Access•Anis Charfi, Mabrouka Bessghaier et al.•ARTICLE•Social Network Analysis and Mining•2024

    We present a cross-domain and multi-dialectal stance corpus for Arabic, covering the major dialect groups and four Arab regions. This research provides an important language resource for automating the task of stance detection in Dialectal Arabic while carefully considering the subtle differences in stance expression across various dialects. More than 4500 sentences in our corpus have been carefully annotated according to their stance with regard…

Arabic (2 works) · Computer Science (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Artificial Intelligence (1 work) · Authorship Attribution and Profiling (1 work) · Deception (1 work) · Hate Speech and Cyberbullying Detection (1 work) · Irony (1 work) · Mathematics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae