@inproceedings{tripty-etal-2025-cuet,
    title = "{CUET}{\_}{S}ntx{\_}{S}rfrs at {BLP}-2025 Task 1: Combining Hierarchical Classification and Ensemble Learning for {B}engali Hate Speech Detection",
    author = "Tripty, Hafsa Hoque  and
      Tabassum, Laiba  and
      Ali Taher, Hasan Mesbaul  and
      Ahmed, Kawsar  and
      Hoque, Mohammed Moshiul",
    editor = "Alam, Firoj  and
      Kar, Sudipta  and
      Chowdhury, Shammur Absar  and
      Hassan, Naeemul  and
      Prince, Enamul Hoque  and
      Tasnim, Mohiuddin  and
      Rony, Md Rashad Al Hasan  and
      Rahman, Md Tahmid Rahman",
    booktitle = "Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)",
    month = dec,
    year = "2025",
    address = "Mumbai, India",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.banglalp-1.48/",
    pages = "523--530",
    ISBN = "979-8-89176-314-2",
    abstract = "Detecting hate speech in Bengali social media content presents considerable challenges, primarily due to the prevalence of informal language and the limited availability of annotated datasets. This study investigates the identification of hate speech in Bengali YouTube comments, focusing on classifying the type, severity, and target group. Multiple machine learning baselines and voting ensemble techniques are evaluated to address these tasks. The methodology involves text preprocessing, feature extraction using TF-IDF and Count vectors, and aggregating predictions from several models. Hierarchical classification with TF-IDF features and majority voting improves the detection of less frequent hate speech categories while maintaining robust overall performance, resulting in an $18^{th}$ place ranking and a micro F1 score of 68.42{\%}. Furthermore, ablation studies assess the impact of preprocessing steps and n-gram selection, providing reproducible baselines for Bengali hate speech detection. All codes and resources are publicly available at https://github.com/Hasan-Mesbaul-Ali-Taher/BLP{\_}25{\_}Task{\_}1"
}