@inproceedings{reddy-etal-2023-supernova,
title = "Supernova@{D}ravidian{L}ang{T}ech 2023@Abusive Comment Detection in {T}amil and {T}elugu - ({T}amil, {T}amil-{E}nglish, {T}elugu-{E}nglish)",
author = "Reddy, Ankitha and
Moorthi, Pranav and
Thomas, Ann Maria",
editor = "Chakravarthi, Bharathi R. and
Priyadharshini, Ruba and
M, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth",
booktitle = "Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages",
month = sep,
year = "2023",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2023.dravidianlangtech-1.32",
pages = "225--230",
abstract = "This paper focuses on using Support Vector Machines (SVM) classifiers with TF-IDF feature extraction to classify whether a comment is abusive or not.The paper tries to identify abusive content in regional languages.The dataset analysis presents the distribution of target variables in the Tamil-English, Telugu-English, and Tamil datasets.The methodology section describes the preprocessing steps, including consistency, removal of special characters and emojis, removal of stop words, and stemming of data. Overall, the study contributes to the field of abusive comment detection in Tamil and Telugu languages.",
}
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<abstract>This paper focuses on using Support Vector Machines (SVM) classifiers with TF-IDF feature extraction to classify whether a comment is abusive or not.The paper tries to identify abusive content in regional languages.The dataset analysis presents the distribution of target variables in the Tamil-English, Telugu-English, and Tamil datasets.The methodology section describes the preprocessing steps, including consistency, removal of special characters and emojis, removal of stop words, and stemming of data. Overall, the study contributes to the field of abusive comment detection in Tamil and Telugu languages.</abstract>
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%0 Conference Proceedings
%T Supernova@DravidianLangTech 2023@Abusive Comment Detection in Tamil and Telugu - (Tamil, Tamil-English, Telugu-English)
%A Reddy, Ankitha
%A Moorthi, Pranav
%A Thomas, Ann Maria
%Y Chakravarthi, Bharathi R.
%Y Priyadharshini, Ruba
%Y M, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%S Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F reddy-etal-2023-supernova
%X This paper focuses on using Support Vector Machines (SVM) classifiers with TF-IDF feature extraction to classify whether a comment is abusive or not.The paper tries to identify abusive content in regional languages.The dataset analysis presents the distribution of target variables in the Tamil-English, Telugu-English, and Tamil datasets.The methodology section describes the preprocessing steps, including consistency, removal of special characters and emojis, removal of stop words, and stemming of data. Overall, the study contributes to the field of abusive comment detection in Tamil and Telugu languages.
%U https://aclanthology.org/2023.dravidianlangtech-1.32
%P 225-230
Markdown (Informal)
[Supernova@DravidianLangTech 2023@Abusive Comment Detection in Tamil and Telugu - (Tamil, Tamil-English, Telugu-English)](https://aclanthology.org/2023.dravidianlangtech-1.32) (Reddy et al., DravidianLangTech-WS 2023)
ACL