Text Mining and Network Analysis
for Business and Research
Leveraging the power of big data represents an opportunity for researchers and managers to reveal patterns and trends in social behaviors and consumer perceptions. This workshop shows how to successfully integrate Text Mining with Social Network Analysis for business and research. It presents the Semantic Brand Score (SBS) and other powerful methods and tools for analyzing semantic networks, studying brand/semantic importance, and performing advanced NLP tasks. The workshop also describes the functionalities of the SBS Business Intelligence App (SBS BI), designed to produce a wide range of analytics and mine textual data. We discuss several case studies and show how these methods have been used, for example, to predict tourism trends, select advertising campaign testimonials, push the energy transition or make economic, financial, and political forecasts. SBS BI analytical power extends beyond “brands”, comprising applications to study: commercial brands (e.g., Pepsi vs. Coke); products (e.g., pasta vs. pizza); personal brands (e.g., name and image of political candidates); set of words representing values (e.g., a company’s core values) or concepts related to societal trends (e.g., terms used in media communication that impact consumers’ feeling about the state of the economy). Combining text analysis with network science can change how we make decisions and manage organizations in the era of big data.
Some basic knowledge of social network analysis and/or text mining is a plus if participants plan to use this for academic purposes. However, previous knowledge of these methods is not required. There are no strict software requirements as SBS BI is a web-based application. However, we suggest:
Andrea Fronzetti Colladon and Francesca Grippa.
SBS BI workshops are regularly offered as part of the bachelor's degree program in Management and AI at Kozminski University (Poland) and three master's programs in Data Science, Business Management, and Economic Intelligence, all held at the University of Rome Tor Vergata (Italy). The workshop is also part of the Business Management and Analytics course offered by the master's degree program in Mechanical Engineering at the University of Perugia (Italy).
Please directly apply through the conference or university websites.
Course materials will be provided to the attendees, during the course. Additional materials are linked in the following.
More articles, case studies and scientific materials are available HERE.
The European Commission, under the framework of Horizon 2020 Programme, through the project SWS HEATING “Development and Validation of an Innovative Solar Compact Selective-Water-Sorbent-Based Heating System Project”, G.A. No 764025.