New article: New machine can detect hate speech, violence from texts read more at here http://www.spinonews.com/index.php/technology/item/3295-new-machine-can-detect-hate-speech-violence-from-texts

A new study from the University of Eastern Finland has developed machine learning models that can detect antisocial behaviors, such as hate speech and indications of violence, from texts.

We have seen some moments due to some antisocial slogans and hate speeches has become historic movements in the world by the people possessing there different thoughts and point of views towards the situation it may be from education, politics, terror and violence. The scientists has developed a great technique by using natural language processing techniques to overcome antisocial activities that are performed in text or written communication.

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These techniques can also be used in the text area formats in social media platforms which can detect automatically with great accuracy and to overcome the warnings by intervening and protect the possible acts of violence  

One of the great challenges in detecting antisocial behavior is first defining what precisely counts as antisocial behavior and then determining how to detect such phenomena. Thus, using an exploratory and interdisciplinary approach, the study applied natural language processing techniques to identify, extract and utilize the linguistic features, including emotional features, pertaining to antisocial behavior.

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The study found the emotions and their role or presence in antisocial behavior. Literature in the fields of psychology and cognitive science shows that emotions have a direct or indirect role in instigating antisocial behavior. Thus, for the analysis of emotions in written language, the study created a novel resource for analyzing 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 behavior texts, allowing for a deeper insight into and understanding of how antisocial behavior is expressed in written language.

The study shows that natural language processing techniques can help in advance to detect antisocial behavior, which can protect us from them. 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 behavior, much progress can be made.