Opinion and Sentiment Polarity Detection Using Supervised Machine Learning. - Ibtissam Touahri; Azzeddine Mazroui (CIST, 2018)

Automatic Verification of Political Claims Based on Morphological Features. - Ibtissam Touahri; Azzeddine Mazroui (CLEF (Working Notes), 2019)

EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach. - Ibtissam Touahri; Azzeddine Mazroui (CLEF (Working Notes), 2020)

Construction of an accurate automatic lexicon for Arabic sentiment analysis. - Ibtissam Touahri; Azzeddine Mazroui (SITA, 2020)

Deep analysis of an Arabic sentiment classification system based on lexical resource expansion and custom approaches building. - Ibtissam Touahri; Azzeddine Mazroui (Int. J. Speech Technol., 2021)

Studying the effect of characteristic vector alteration on Arabic sentiment classification. - Ibtissam Touahri; Azzeddine Mazroui (J. King Saud Univ. Comput. Inf. Sci., 2021)

Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features. - Ibtissam Touahri; Azzeddine Mazroui (Knowl. Based Syst., 2021)

Survey of machine learning techniques for Arabic fake news detection. - Ibtissam Touahri; Azzeddine Mazroui (Artif. Intell. Rev., 2024)

Annotation and evaluation of a dialectal Arabic sentiment corpus against benchmark datasets using transformers. - Ibtissam Touahri; Azzeddine Mazroui (Lang. Resour. Evaluation, 2025)