3. New machine learning models can detect hate speech and violence from texts. The ...

New machine learning models can detect hate speech and violence from texts. The study shows that natural language processing techniques can help detect antisocial behaviour, which is a step towards its prevention in society.

The study investigated emotions and their role or presence in antisocial behaviour. Literature in the fields of psychology and cognitive science shows that emotions have a direct or indirect role in instigating antisocial behaviour. Thus, for the analysis of emotions in written language, the study created a novel resource for analysing emotions. This resource further contributes to subfields of natural language processing, such as emotion and sentiment analysis. The study also created a novel corpus of antisocial behaviour texts, allowing for a deeper insight into and understanding of how antisocial behaviour is expressed in written language. The study shows that natural language processing techniques can help detect antisocial behaviour, which is a step towards its prevention in society. With continued research on the relationships between natural language and societal concerns and with a multidisciplinary effort in building automated means to assess the probability of harmful behaviour, much progress can be made.

Read more at: https://phys.org/news/2017-04-machine-speech-violence-texts.html#jCp

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