@inproceedings{k-etal-2025-wictory,
title = "Wictory@{D}ravidian{L}ang{T}ech 2025: Political Sentiment Analysis of {T}amil {X}({T}witter) Comments using {L}a{BSE} and {SVM}",
author = "K, Nithish Ariyha and
R, Eshwanth Karti T and
P, Yeshwanth Balaji A and
J, Vikash and
S, Sachin Kumar",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth and
Rajiakodi, Saranya and
Palani, Balasubramanian and
Subramanian, Malliga and
Cn, Subalalitha and
Chinnappa, Dhivya",
booktitle = "Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
month = may,
year = "2025",
address = "Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.dravidianlangtech-1.120/",
doi = "10.18653/v1/2025.dravidianlangtech-1.120",
pages = "706--710",
ISBN = "979-8-89176-228-2",
abstract = "Political sentiment analysis has become an essential area of research in Natural Language Processing (NLP), driven by the rapid rise ofsocial media as a key platform for political discourse. This study focuses on sentiment classification in Tamil political tweets, addressing the linguistic and cultural complexities inherent in low-resource languages. To overcome data scarcity challenges, we develop a system that integrates embeddings with advanced Machine Learning techniques, ensuring effective sentiment categorization. Our approach leverages deep learning-based models and transformer architectures to capture nuanced expressions, contributing to improved sentiment classification. This work enhances NLP methodologies for low-resource languages and provides valuable insights into Tamil political discussions, aiding policymakers and researchers in understanding public sentiment more accurately. Notably, our system secured $Rank 5$in the NAACL shared task, demonstrating its effectiveness in real-world sentiment classification challenges."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="k-etal-2025-wictory">
<titleInfo>
<title>Wictory@DravidianLangTech 2025: Political Sentiment Analysis of Tamil X(Twitter) Comments using LaBSE and SVM</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nithish</namePart>
<namePart type="given">Ariyha</namePart>
<namePart type="family">K</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Eshwanth</namePart>
<namePart type="given">Karti</namePart>
<namePart type="given">T</namePart>
<namePart type="family">R</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yeshwanth</namePart>
<namePart type="given">Balaji</namePart>
<namePart type="given">A</namePart>
<namePart type="family">P</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Vikash</namePart>
<namePart type="family">J</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sachin</namePart>
<namePart type="given">Kumar</namePart>
<namePart type="family">S</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages</title>
</titleInfo>
<name type="personal">
<namePart type="given">Bharathi</namePart>
<namePart type="given">Raja</namePart>
<namePart type="family">Chakravarthi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ruba</namePart>
<namePart type="family">Priyadharshini</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anand</namePart>
<namePart type="given">Kumar</namePart>
<namePart type="family">Madasamy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sajeetha</namePart>
<namePart type="family">Thavareesan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Elizabeth</namePart>
<namePart type="family">Sherly</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Saranya</namePart>
<namePart type="family">Rajiakodi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Balasubramanian</namePart>
<namePart type="family">Palani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Malliga</namePart>
<namePart type="family">Subramanian</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Subalalitha</namePart>
<namePart type="family">Cn</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Dhivya</namePart>
<namePart type="family">Chinnappa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-228-2</identifier>
</relatedItem>
<abstract>Political sentiment analysis has become an essential area of research in Natural Language Processing (NLP), driven by the rapid rise ofsocial media as a key platform for political discourse. This study focuses on sentiment classification in Tamil political tweets, addressing the linguistic and cultural complexities inherent in low-resource languages. To overcome data scarcity challenges, we develop a system that integrates embeddings with advanced Machine Learning techniques, ensuring effective sentiment categorization. Our approach leverages deep learning-based models and transformer architectures to capture nuanced expressions, contributing to improved sentiment classification. This work enhances NLP methodologies for low-resource languages and provides valuable insights into Tamil political discussions, aiding policymakers and researchers in understanding public sentiment more accurately. Notably, our system secured Rank 5in the NAACL shared task, demonstrating its effectiveness in real-world sentiment classification challenges.</abstract>
<identifier type="citekey">k-etal-2025-wictory</identifier>
<identifier type="doi">10.18653/v1/2025.dravidianlangtech-1.120</identifier>
<location>
<url>https://aclanthology.org/2025.dravidianlangtech-1.120/</url>
</location>
<part>
<date>2025-05</date>
<extent unit="page">
<start>706</start>
<end>710</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Wictory@DravidianLangTech 2025: Political Sentiment Analysis of Tamil X(Twitter) Comments using LaBSE and SVM
%A K, Nithish Ariyha
%A R, Eshwanth Karti T.
%A P, Yeshwanth Balaji A.
%A J, Vikash
%A S, Sachin Kumar
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%Y Rajiakodi, Saranya
%Y Palani, Balasubramanian
%Y Subramanian, Malliga
%Y Cn, Subalalitha
%Y Chinnappa, Dhivya
%S Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
%D 2025
%8 May
%I Association for Computational Linguistics
%C Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico
%@ 979-8-89176-228-2
%F k-etal-2025-wictory
%X Political sentiment analysis has become an essential area of research in Natural Language Processing (NLP), driven by the rapid rise ofsocial media as a key platform for political discourse. This study focuses on sentiment classification in Tamil political tweets, addressing the linguistic and cultural complexities inherent in low-resource languages. To overcome data scarcity challenges, we develop a system that integrates embeddings with advanced Machine Learning techniques, ensuring effective sentiment categorization. Our approach leverages deep learning-based models and transformer architectures to capture nuanced expressions, contributing to improved sentiment classification. This work enhances NLP methodologies for low-resource languages and provides valuable insights into Tamil political discussions, aiding policymakers and researchers in understanding public sentiment more accurately. Notably, our system secured Rank 5in the NAACL shared task, demonstrating its effectiveness in real-world sentiment classification challenges.
%R 10.18653/v1/2025.dravidianlangtech-1.120
%U https://aclanthology.org/2025.dravidianlangtech-1.120/
%U https://doi.org/10.18653/v1/2025.dravidianlangtech-1.120
%P 706-710
Markdown (Informal)
[Wictory@DravidianLangTech 2025: Political Sentiment Analysis of Tamil X(Twitter) Comments using LaBSE and SVM](https://aclanthology.org/2025.dravidianlangtech-1.120/) (K et al., DravidianLangTech 2025)
ACL
- Nithish Ariyha K, Eshwanth Karti T R, Yeshwanth Balaji A P, Vikash J, and Sachin Kumar S. 2025. Wictory@DravidianLangTech 2025: Political Sentiment Analysis of Tamil X(Twitter) Comments using LaBSE and SVM. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 706–710, Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico. Association for Computational Linguistics.