PhD visiting

In the last decades, the diffusion of the Internet has generated a revolution in many areas of Social Sciences. Today, people increasingly share information online, creating a huge amount of available and high informative textual data; however, many open questions persist. One of the most relevant issues concerns how to extract as much information as possible from a collection of unstructured text and transform them into knowledge. A well-known methodology, Semantic Network Analysis, using knowledge from text mining and social network analysis, allows the exploration of texts, representing them as networks. The object of this work is to go deeply into Semantic Network Analysis methodologies, with the aim of proposing steps forward the classification of contents in textual analysis.