@inproceedings{chakravarthi-etal-2025-overview,
    title = "Overview on Political Multiclass Sentiment Analysis of {T}amil {X} ({T}witter) Comments: {D}ravidian{L}ang{T}ech@{NAACL} 2025",
    author = "Chakravarthi, Bharathi Raja  and
      Rajiakodi, Saranya  and
      Durairaj, Thenmozhi  and
      Thangasamy, Sathiyaraj  and
      Sakuntharaj, Ratnasingam  and
      Kumaresan, Prasanna Kumar  and
      Ponnusamy, Kishore Kumar  and
      Karunanidhi, Arunaggiri Pandian  and
      R, Rohan",
    editor = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Madasamy, Anand Kumar  and
      Thavareesan, Sajeetha  and
      Sherly, Elizabeth  and
      Rajiakodi, Saranya  and
      Palani, Balasubramanian  and
      Subramanian, Malliga  and
      Cn, Subalalitha  and
      Chinnappa, Dhivya",
    booktitle = "Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
    month = may,
    year = "2025",
    address = "Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/moar-dois/2025.dravidianlangtech-1.126/",
    doi = "10.18653/v1/2025.dravidianlangtech-1.126",
    pages = "746--753",
    ISBN = "979-8-89176-228-2",
    abstract = "Political multiclass detection is the task of identifying the predefined seven political classes. In this paper, we report an overview of the findings on the ``Political Multiclass Sentiment Analysis of Tamil X(Twitter) Comments'' shared task conducted at the workshop on DravidianLangTech@NAACL 2025. The participants were provided with annotated Twitter comments, which are split into training, development, and unlabelled test datasets. A total of 139 participants registered for this shared task, and 25 teams finally submitted their results. The performance of the submitted systems was evaluated and ranked in terms of the macro-F1 score."
}