The course program is divided into a theoretical part and an application/practical part. In the theoretical part, students will delve into the organizational processes of sense making, decision making, and knowing. They will delve into the technical problems and potentials of unstructured data analysis and automatic text analysis. They will also delve into theoretical knowledge related to the operation of web technologies and social media.
In the application/practical part, students will delve into a range of practical skills involving the use of data collection, manipulation and analysis tools functional to increase the information needs of organizations. The following aspects will be addressed in the application/practical part: - Web scapring and social media mining - Data manipulation: cleaning, coding, decoding and trasforming data - Basic text mining operations: text corpora creation, token extraction, lexicons, roots, lemmas, n-grams, tdm/dtm matrices; - Advanced operations: semantic annotation, extraction of topic, sentiment, emotion from text, classifications