@inproceedings{reddy-etal-2023-supernova,
    title = "Supernova@{D}ravidian{L}ang{T}ech 2023@Abusive Comment Detection in {T}amil and {T}elugu - ({T}amil, {T}amil-{E}nglish, {T}elugu-{E}nglish)",
    author = "Reddy, Ankitha  and
      Moorthi, Pranav  and
      Thomas, Ann Maria",
    editor = "Chakravarthi, Bharathi R.  and
      Priyadharshini, Ruba  and
      M, Anand Kumar  and
      Thavareesan, Sajeetha  and
      Sherly, Elizabeth",
    booktitle = "Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages",
    month = sep,
    year = "2023",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2023.dravidianlangtech-1.32/",
    pages = "225--230",
    abstract = "This paper focuses on using Support Vector Machines (SVM) classifiers with TF-IDF feature extraction to classify whether a comment is abusive or not.The paper tries to identify abusive content in regional languages.The dataset analysis presents the distribution of target variables in the Tamil-English, Telugu-English, and Tamil datasets.The methodology section describes the preprocessing steps, including consistency, removal of special characters and emojis, removal of stop words, and stemming of data. Overall, the study contributes to the field of abusive comment detection in Tamil and Telugu languages."
}