• Monika Soni
• Dr. Kalpana Rai

The social media is one of the popular platforms where users are virtually feel surrounds of society. In social media users are sharing their thoughts, knowledge, products and others. Additionally it is also supporting the one to one communication and as well as the group communication. But a small amount of solicited social media members are usages this platform for delivering the hate contents, spam and using malicious links they spread the unsocial text. Therefore to make the surrounding clean machine learning based data model is proposed for design and implementation. The proposed model usages the social media text post contents evaluate the contents and label them into hate or normal category. The entire process is subdivided into three major modules first for noise reduction and features computation, second is used for data pre-labeling and the last module is used for training and testing of the proposed working model. Here for preprocessing the stop words and special characters are reduced from initial text. Additionally for recovering the NLP (natural language processing) based feature a parser is used that return the part of speech tags for sentences. In further the text data is categorized using the fuzzy membership approach and then pre-labeled data is used for final learning and classification using the support vector machine classifier. After implementation of the proposed data mining system the performance in terms of accuracy, error rate, memory usages and time complexity is measured that shows efficient and accurate data modeling which is proposed.

NLP (natural language processing), classification, support vector machine, fuzzy text categorization, cyber hate classification

"A survey and proposal on social media cyber hate detection using text post analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.627-629, June 2019, Available :http://www.jetir.org/papers/JETIR1907392.pdf

"A survey and proposal on social media cyber hate detection using text post analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp627-629, June 2019, Available at : http://www.jetir.org/papers/JETIR1907392.pdf