In this modern era of technology social networking plays an imperative role among people day-to-day life. Social networking helps people from different area with different cultures to collaborate with each other using websites and web-based applications namely Instagram, Facebook, MySpace, Twitter, and LinkedIn. Offensive comments, posts, hashtags are one of the growing problem in social media. In this research paper, we tried to find out an algorithm to ferret out the antisocial hashtags in social media. Classification algorithms are applied on our test dataset which is built on the basis of training dataset. Here we use SMO, IBK and logistic algorithms using Weka tool and find out which technique is most suitable for user working on the dataset. Based on our analysis we found that SMO & IBk are suitable algorithms which yield accuracy of 93.58 percentages.
Volume 12 | 04-Special Issue
Pages: 829-832
DOI: 10.5373/JARDCS/V12SP4/20201552