Data Mining Strategies for Drug Analysis on Twitter

Abstract

This research discovers and analyses various drugs (weed) associated tweets on twitter. In this regard, we have gathered 5000 drugs associated tweets throughout October 2018 in our research study. Our study related to texting top of algorithms and data analysis reveal some interesting models that add in users' attitude which would be distinguished by the subsistence of outer link in tweet. From the recent survey, it is evident that 72% people upload their text using their smart phones while other users operate via computers etc; people usually tweet on Saturday and Sunday in large number when compared with the weekdays.