hyderabad a team from the international institute of information technology hyderabad iiith has developed a system to detect hate speech on microblogging site twitter a first of its kindthe team includes vasudeva varma professor and dean rd at iiith students pinkesh badjatiya and shashank gupta and adjunct faculty manish gupta they were working on the topic of deep learning for hate speech on micro blogging site twitter for close to a yearthe team says the system can detect abusive language sexist and racist speech and flag offensive content this is useful in filtering such content and also analysing public sentiment to get to the root of the problemto detect hate speech a popular approach called supervised learning is used essentially a computer algorithm is fed many examples of text from each form of hate which can be categorised as racist or sexist tweets the algorithm is designed in such a way that it learns as it sees the data and after the algorithm terminates the program me is smart enough to recognise racism or sexism in a text said varma the algorithm uses neural networks more popularly called deep learning these algorithms are inspired from the human brain and they try to simulate how humans learn from examples he saidthis line of research is highly relevant in the current wave of social media but has its unique challenges and complexities team members said the research was conducted at the iiiths informational and retrieval extraction lab irel by using natural language processing semantics and artificial intelligenceread this story in kannada