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@article{152712,
        author = {N V S Sowjanya and P Tejaswi and D Sai Lakshmi and N Sai Prasanthi and B Lokesh Surya Vamsi},
        title = {ANALYSIS OF MESSAGES IN SOCIAL MEDIA, IDENTIFICATION OF SUICIDAL TYPES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {4},
        pages = {151-154},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152712},
        abstract = {This project describes content analysis of text with to identify suicidal tendencies and types. This article also describes how to make a sentence classifier that uses a neural network created using various libraries created for machine learning in the Python programming language. Attention is paid to the problem of teenage suicide and «groups of death» in social networks, the search for ways to stop the propaganda of suicide among minors. Analysis of existing information about so-called «groups of death» and its distribution on the Internet.},
        keywords = {suicidal tendencies, neural network, groups of death, machine learning},
        month = {},
        }