Abstract: With the development of internet, more and more people express their emotion and feeling in social media, including suicidal ideation. There is a new opportunity for suicide prevention, if people with high suicidal risks can be identified through social media like microblog. In this work we attempt to set up the suicidal ideation recognizer with deep learning model, and address the possibility of suicidal risk assessment in social media. In order to verify the validity of the algorithm model,we also conduct statistical analysis of the key word features, and compare the incorrectly classified instances with other two algorithms. The results indicate that deep learning algorithm works more effectively for suicide risk identification.

Key words: suicide, multi-layer perception(MLP), microblogs, social media, recognizer