KEC_AI_NLP@DravidianLangTech: Sentiment Analysis in Code Mixture Language

Kogilavani Shanmugavadivel, Malliga Subaramanian, VetriVendhan S, Pramoth Kumar M, Karthickeyan S, Kavin Vishnu N


Abstract
Sentiment Analysis is a process that involves analyzing digital text to determine the emo- tional tone, such as positive, negative, neu- tral, or unknown. Sentiment Analysis of code- mixed languages presents challenges in natural language processing due to the complexity of code-mixed data, which combines vocabulary and grammar from multiple languages and cre- ates unique structures. The scarcity of anno- tated data and the unstructured nature of code- mixed data are major challenges. To address these challenges, we explored various tech- niques, including Machine Learning models such as Decision Trees, Random Forests, Lo- gistic Regression, and Gaussian Na ̈ıve Bayes, Deep Learning model, such as Long Short- Term Memory (LSTM), and Transfer Learning model like BERT, were also utilized. In this work, we obtained the dataset from the Dravid- ianLangTech shared task by participating in a competition and accessing train, development and test data for Tamil Language. The results demonstrated promising performance in senti- ment analysis of code-mixed text. Among all the models, deep learning model LSTM pro- vides best accuracy of 0.61 for Tamil language.
Anthology ID:
2023.dravidianlangtech-1.44
Volume:
Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages
Month:
September
Year:
2023
Address:
Varna, Bulgaria
Editors:
Bharathi R. Chakravarthi, Ruba Priyadharshini, Anand Kumar M, Sajeetha Thavareesan, Elizabeth Sherly
Venues:
DravidianLangTech | WS
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
300–305
Language:
URL:
https://aclanthology.org/2023.dravidianlangtech-1.44
DOI:
Bibkey:
Cite (ACL):
Kogilavani Shanmugavadivel, Malliga Subaramanian, VetriVendhan S, Pramoth Kumar M, Karthickeyan S, and Kavin Vishnu N. 2023. KEC_AI_NLP@DravidianLangTech: Sentiment Analysis in Code Mixture Language. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 300–305, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
KEC_AI_NLP@DravidianLangTech: Sentiment Analysis in Code Mixture Language (Shanmugavadivel et al., DravidianLangTech-WS 2023)
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PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2023.dravidianlangtech-1.44.pdf