BPHC@DravidianLangTech-ACL2022-A comparative analysis of classical and pre-trained models for troll meme classification in Tamil
Trolling refers to any user behaviour on the internet to intentionally provoke or instigate conflict predominantly in social media. This paper aims to classify troll meme captions in Tamil-English code-mixed form. Embeddings are obtained for raw code-mixed text and the translated and transliterated version of the text and their relative performances are compared. Furthermore, this paper compares the performances of 11 different classification algorithms using Accuracy and F1- Score. We conclude that we were able to achieve a weighted F1 score of 0.74 through MuRIL pretrained model.
Code (0)
등록된 구현이 없습니다.
Tasks
Meme ClassificationSimilar Papers 제목 키워드 기반
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and society as a whole. This is because suc…
Meme ClassificationMisinformationHermes@DravidianLangTech 2025: Sentiment Analysis of Dravidian Languages using XLM-RoBERTa
Sentiment analysis, the task of identifying subjective opinions or emotional responses, has become increasingly significant with the rise of social media. However, analysing sentiment in Dravidian languages such as Tamil…
Sentiment Analysiscantnlp@DravidianLangTech 2026: organic domain adaptation improves multi-class hope speech detection in Tulu
This paper presents our systems and results for the Hope Speech Detection in Code-Mixed Tulu Language shared task at the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangT…
Hope Speech DetectionText ClassificationDomain AdaptationMUCS@DravidianLangTech@ACL2022: Ensemble of Logistic Regression Penalties to Identify Emotions in Tamil Text
Emotion Analysis (EA) is the process of automatically analyzing and categorizing the input text into one of the predefined sets of emotions. In recent years, people have turned to social media to express their emotions, …
Emotion RecognitionregressionDLRG@DravidianLangTech-EACL2021: Transformer based approachfor Offensive Language Identification on Code-Mixed Tamil
Internet advancements have made a huge impact on the communication pattern of people and their life style. People express their opinion on products, politics, movies etc. in social media. Even though, English is predomin…
Language IdentificationLanguage ModelingLanguage ModellingSentiment Analysis