Findings of the Shared Task on Emotion Analysis in Tamil
This paper presents the overview of the shared task on emotional analysis in Tamil. The result of the shared task is presented at the workshop. This paper presents the dataset used in the shared task, task description, and the methodology used by the participants and the evaluation results of the submission. This task is organized as two Tasks. Task A is carried with 11 emotions annotated data for social media comments in Tamil and Task B is organized with 31 fine-grained emotion annotated data for social media comments in Tamil. For conducting experiments, training and development datasets were provided to the participants and results are evaluated for the unseen data. Totally we have received around 24 submissions from 13 teams. For evaluating the models, Precision, Recall, micro average metrics are used.
Code (0)
등록된 구현이 없습니다.
Tasks
Emotion RecognitionSimilar Papers 제목 키워드 기반
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
This paper aims to perform an emotion analysis of social media comments in Tamil. Emotion analysis is the process of identifying the emotional context of the text. In this paper, we present the findings obtained by Team …
Emotion RecognitionGJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers
This paper describes the systems built by our team for the “Emotion Analysis in Tamil” shared task at the Second Workshop on Speech and Language Technologies for Dravidian Languages at ACL 2022. There were two multi-clas…
Emotion RecognitionMulti-class ClassificationUMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil
This working notes summarises the participation of the UMUTeam on the TamilNLP (ACL 2022) shared task concerning emotion analysis in Tamil. We participated in the two multi-classification challenges proposed with a neura…
Emotion RecognitionSentenceSentence EmbeddingsCUET-NLP@TamilNLP-ACL2022: Multi-Class Textual Emotion Detection from Social Media using Transformer
Recently, emotion analysis has gained increased attention by NLP researchers due to its various applications in opinion mining, e-commerce, comprehensive search, healthcare, personalized recommendations and online educat…
Emotion RecognitionOpinion MiningXLM-RMUCS@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 Recognitionregression