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2024 EACL EACL 2024

WordWizards@DravidianLangTech 2024: Sentiment Analysis in Tamil and Tulu using Sentence Embedding

AbstractSentiment Analysis of Dravidian Languages has begun to garner attention recently as there is more need to analyze emotional responses and subjective opinions present in social media text. As this data is code-mixed and there are not many solutions to code-mixed text out there, we present to you a stellar solution to DravidianLangTech 2024: Sentiment Analysis in Tamil and Tulu task. To understand the sentiment of social media text, we used pre-trained transformer models and feature extraction vectorizers to classify the data with results that placed us 11th in the rankings for the Tamil task and 8th for the Tulu task with a accuracy F1 score of 0.12 and 0.30 which shows the efficiency of our approach.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

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