Automatic Detection and Monitoring of Hate Speech in Online Multi-social Media.

Nowadays, we all want to be a part of social media networks in the internet world. Social media has played a critical role in human interaction in the last decade. Every day people use social media huge in numbers and many unfiltered messages are also being posted on multi-social media. Many hate speeches in these messages target an individual or group. In this context, many government and non-government organizations are concerned about these messages and taking some necessary steps to prevent their impact. In this chapter, we have created an intelligent system named “HateDetector-a recursive system” for monitoring and generating alerts on hate speech text for preventive measures on multi-social media with the help of an LSTM-CNN automatic detection model. We have also compared the performance of our LSTM-CNN model with classical machine learning methods in terms of F1 Score, Precision, Recall and, Accuracy.