From Intelligent Crawling to Inclusive Fact-Checking: An End-to-End System

In this article, we present an aggregation platform of journalistic contents based on an intelligent crawler of articles from Online Press, of an inclusive fact-checking approach and an Opinion Mining method. More than 300 000 press articles from more than 145 Senegalese online information websites have been collected, processed, analyzed, aggregated, stored, and classified by category and theme, thanks to Machine Learning. The primary objective in these researches is to provide Web surfers, mainly journalists and fact-checkers, with a unique platform aggregating all the data related to Senegalese current affairs with analysis options, display and fact-checking.