RMKMavericks@DravidianLangTech 2025: Emotion Mining in Tamil and Tulu Code-Mixed Text: Challenges and Insights
Gladiss Merlin N.r, E Boomika, P Lahari · 2025
Sentiment analysis in code-mixed social media comments written in Tamil and Tulu presents unique challenges due to grammatical inconsistencies, code-switching, and the use of nonnative scripts.To address these complexities, we employ pre-processing techniques for text cleaning and evaluate machine learning models tailored for sentiment detection.Traditional machine learning methods combined with feature extraction strategies, such as TF-IDF, are utilized.While logistic regression demonstrated reasonable performance on the Tamil dataset, achieving a macro F1 score of 0.44, support vector machines (SVM) outperformed logistic regression on the Tulu dataset with a macro F1 score of 0.54.These results demonstrate the effectiveness of traditional approaches, particularly SVM, in handling low-resource, multilingual data, while also highlighting the need for further refinement to improve performance across underrepresented sentiment classes.