Ms. SANJANA KAVATAGI

Associate Professor
    Computer Science & Engineering
    8050563454
    sanjanak.cs@sode-edu.in
    • B.E
    • M.Tech
    • (Ph.D)
    Computational Linguistics, Natural Language Processing, Social Computing, Generative AI.
    3 Years 4 Months
    3 Years 4 Months
    1 Year Years
      10

       

      1. Kavatagi, Sanjana, and Rashmi Rachh.
        “HASTIKA: Hate Speech and Target Identification in Kannada-English Code-Mixed Text.”
        Language Resources and Evaluation (2025): 1–46.
      2. Kavatagi, Sanjana, Rashmi Rachh, and Prakul Hiremath.
        “Shared Feature-Based Multitask Model for Faux-Hate Classification in Code-Mixed Text.”
        Proceedings of the 21st International Conference on Natural Language Processing (ICON): Shared Task on Decoding Fake Narratives in Spreading Hateful Stories (Faux-Hate). 2024.
      3. Rachh, Rashmi, and Sanjana Kavatagi.
        “Study on Students’ Perceptions of Generative AI in Learning Programming Courses.”
        2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024.
      4. Rachh, Rashmi, Sanjana Kavatagi, and Shridhar Allagi.
        “Domain Specific Embeddings in RNN Frameworks for Hate Span Detection and Classification.”
        2023 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024.
      5. Kavatagi, Sanjana M., Rashmi R. Rachh, and Shankar S. Biradar.
        “VTUBGM@ LT-EDI-2023: Hope Speech Identification Using Layered Differential Training of ULMFiT.”
        Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion. 2023.
      6. Biradar, Shankar, Sunil Saumya, and Sanjana Kavatagi.
        “IIITDWD@ LT-EDI-2023 Unveiling Depression: Using Pre-trained Language Models for Harnessing Domain-Specific Features and Context Information.”
        Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion. 2023.
      7. Rachh, Rashmi, and Sanjana Kavatagi.
        “Performance Evaluation of Various Embedding Techniques for Identification of Depressive Contents in Social Media.”
        2023 3rd Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2023.
      8. Mulimani, Madhura, Rashmi Rachh, and Sanjana Kavatagi.
        “A Comparative Approach: Machine Learning and Adversarial Learning for Intrusion Detection.”
        Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022.
        Singapore: Springer Nature Singapore, 2023.
      9. Kavatagi, Sanjana, Rashmi Rachh, and Madhura Mulimani.
        “VTU_BGM at CheckThat! 2022: An Autoregressive Encoding Model for Detecting Check-Worthy Claims.” 2022.
      10. Kavatagi, Sanjana, and Rashmi Rachh.
        “A Context Aware Embedding for the Detection of Hate Speech in Social Media Networks.”
        2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2021.
      11. Kavatagi, Sanjana, and Vinayak Adimule.
        “Bi-GRU Model with Stacked Embedding for Sentiment Analysis: A Case Study.”
        Internet of Things, Artificial Intelligence and Blockchain Technology.
        Cham: Springer International Publishing, 2021. pp. 259–275.
      Ms. Sanjana Kavatagi
      Associate Professor
      Computer Science and Engineering
      SMVITM, Bantakal
      Udupi - 574115

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