  The socialization of the web has undertaken a new dimension after the
emergence of the Online Social Networks (OSN) concept. The fact that each
Internet user becomes a potential content creator entails managing a big amount
of data. This paper explores the most popular professional OSN: LinkedIn. A
scraping technique was implemented to get around 5 Million public profiles. The
application of natural language processing techniques (NLP) to classify the
educational background and to cluster the professional background of the
collected profiles led us to provide some insights about this OSN's users and
to evaluate the relationships between educational degrees and professional
careers.
