mlsanityData to 7 Oct 2026

Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English

arXiv 2104.01443 ↗First posted 3 Apr 2021cs.CLcited by 5

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Abstract (arXiv)

In this paper, an approach for hate speech detection against women in Arabic community on social media (e.g. Youtube) is proposed. In the literature, similar works have been presented for other languages such as English. However, to the best of our knowledge, not much work has been conducted in the Arabic language. A new hate speech corpus (Arabicfren) is developed using three different annotators. For corpus validation, three different machine learning algorithms are used, including deep Convolutional Neural Network (CNN), long short-term memory (LSTM) network and Bi-directional LSTM (Bi-LSTM) network. Simulation results demonstrate the best performance of the CNN model, which achieved F1-score up to 86% for the unbalanced corpus as compared to LSTM and Bi-LSTM.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 14 of its 63 references that are in the map. First posted on arXiv 3 Apr 2021.

Builds on

14 of 63 references.

References · 14

  1. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  2. 2016Bag of Tricks for Efficient Text Classificationcited by 869
  3. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  4. 2018Learning Word Vectors for 157 Languagescited by 279
  5. 2017One-step and Two-step Classification for Abusive Language Detection on Twittercited by 46
  6. 2018Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twittercited by 36
  7. 2018Automatic Detection of Cyberbullying in Social Media Textcited by 25
  8. 2019Arabic natural language processing: An overviewcited by 20
  9. 2013Arabizi Detection and Conversion to Arabiccited by 16
  10. 2018Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Studycited by 14
  11. 2018Predictive Embeddings for Hate Speech Detection on Twittercited by 12
  12. 2018SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysiscited by 6
2 more
  1. 2018Hateminers : Detecting Hate speech against Womencited by 5
  2. 2018Automatic Detection of Online Jihadist Hate Speechcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.

5 papers.