Content and link Analysis of a Moroccan entrepreneurs group

This article presents a study on a Moroccan entrepreneurs Facebook group using a combination of Sentiments Analysis, Topic Modeling and social network analysis techniques. The aim of the study is to understand the behavior of individuals and groups within the group by analyzing the content of their posts and the connections between the group members. The study focuses on two main areas:•content analysis of the Arabic dialect spoken in Morocco, known as Darija (Topic Modeling on the group posts, as well as sentiments analysis on comments to detect the value of the post)•analysis of the group members network graph (Community detection; Modularity, statistical inference).The study highlights the importance of analyzing social media networks as they have become an integral part of modern society, with billions of people around the world using platforms such as Facebook. The use of these techniques allows for a more in-depth understanding of the behavior of individuals and groups within a social media network.