TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks
Angel Suseelan, Rajalakshmi Sivanaiah, B Logesh, S Harshini, B. S. R. Geetika, S Dyaneswaran, S Milton Rajendram, T. T. Mirnalinee · 2019
Task 6 of SemEval 2019 involves identifying and categorizing offensive language in social media.The systems developed by TECHSSN team uses multi-level classification techniques.We have developed two systems.In the first system, the first level of classification is done by a multi-branch 2D CNN classifier with Google's pre-trained Word2Vec embedding and the second level of classification by string matching technique supported by offensive and bad words dictionary.The second system uses a multi-branch 1D CNN classifier with Glove pre-trained embedding layer for the first level of classification and string matching for the second level of classification.Input data with a probability of less than 0.70 in the first level are passed on to the second level.The misclassified examples are classified correctly in the second level.