SSN\_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network

no code implementations • SEMEVAL 2019 • Senthil Kumar B., Thenmozhi D., Ch, Aravindan rabose, Srinethe Sharavanan

We have evaluated our approach on the EmoContext@SemEval2019 dataset and we have obtained the micro-averaged F1 scores as 0. 595 and 0. 6568 for the pre-evaluation dataset and final evaluation test set respectively.

SSN\_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches

no code implementations • SEMEVAL 2019 • Thenmozhi D., Senthil Kumar B., Srinethe Sharavanan, Ch, Aravindan rabose

Offensive language identification (OLI) in user generated text is automatic detection of any profanity, insult, obscenity, racism or vulgarity that degrades an individual or a group.

BIG-bench Machine Learning Hate Speech Detection +1