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Varsini_and_Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil
In this paper, we present our system for the task of Emotion analysis in Tamil.
SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM
Task 10 in SemEval 2022 is a composite task which entails analysis of opinion tuples, and recognition and demarcation of their nature.
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models
The multi-class classification model used in our system is based on the ALBERT model.
SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model
In recent years social media has become one of the major forums for expressing human views and emotions.
TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models
This paper describes the system used for identifying misogynous content using images and text.
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models
Irony detection in the social media is an upcoming research which places a main role in sentiment analysis and offensive language identification.
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks
The systems developed by TECHSSN team uses multi-level classification techniques.
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data
This paper describes the work on mining the suggestions from online reviews and forums.
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection
The system developed by the SSN MLRG1 team for Semeval-2018 task 1 on affect in tweets uses rule based feature selection and one-hot encoding to generate the input feature vector.
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron
Sentiment analysis plays an important role in E-commerce.
