Micro influencers detector from marketing parameters to Semantic Analysis We perform an analysis on Twitter social network users, following economics parametrization of special candidates considered micro influencers. Micro influencers are people with a community based on 1k to 20k followers, which have high reputation in a certain topic, a sort of guru, having an extremely high engagement power on other users in the community and that with their posts on social network can push their followers to action. From these understandings, we retrieved tweets and other parameter of user considered potential micro influencers, analyzed their marketing parameters and then performed semantic analysis to derive their big5 [1] and basic human values [2] from tweets text scan through machine learning approach.