This method provides an iterative classification of users and keywords in Digital traces of conversations in micro-blogging platforms and in OSNs. The method identifies polarize users for first, discovers then polarized keywords by monitoring the activities of previously classified users. This method allows to track users and topics over time. The algorithm is written in Python. Data are stored in MongoDB. Requirements: MongoDB and Pymongo.