This paper describes a bidirectional LongShort Term Memory network for identifying
offensive language in Twitter. Our system
has been developed in the context of the SemEval 2019 Task 6 which comprises three different sub-tasks, namely A: Offensive Language Detection, B: Categorization of Offensive Language, C: Offensive Language Target
Identification. We used a pre-trained Word
Embeddings in tweet data, including information about emojis and hashtags. Our approach
achieves good performance ...
This paper describes a bidirectional LongShort Term Memory network for identifying
offensive language in Twitter. Our system
has been developed in the context of the SemEval 2019 Task 6 which comprises three different sub-tasks, namely A: Offensive Language Detection, B: Categorization of Offensive Language, C: Offensive Language Target
Identification. We used a pre-trained Word
Embeddings in tweet data, including information about emojis and hashtags. Our approach
achieves good performance in the three subtasks.
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