Work

PrimeLine@DravidianLangTech 2026: Hope Speech Detection in Tulu Using XLM-RoBERTa for Coarse and Fine-Grained Classification

Year: 2026

Type: conference-paper

Abstract: Hope speech detection in low-resource, codemixed languages presents a genuine challenge for natural language processing.Tulu, a Dravidian language spoken along the coastal regions of Karnataka and Kerala, is one such language where social media content is deeply code-mixed, blending Tulu, Kannada script, and English within a single comment.Two classification tasks are addressed: a four-class coarse-grained setting (Track 1) and a five-class fine-grained setting (Track 2).XLM-RoBERTa, a cross-lingual transformer pre-trained on more than 100 languages, is fine-tuned on the taskprovided datasets using Google Colab with an NVIDIA T4 GPU.The system achieves a Macro F1-score of 0.34 on Track 1 and 0.19 on Track 2 on the official Codabench evaluation, establishing the first transformer-based baseline for hope speech classification in Tulu.

Source: Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech)

DOI: 10.18653/v1/2026.dravidianlangtech-1.52

Authors: Rithikaa V, S.Sumathi, Sanjay Krishnan K, Nithya Varshini C N R

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166812509

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