  Leveraging the power of big data represents an opportunity for brand managers
to reveal patterns and trends in consumer perceptions, while monitoring
positive or negative associations of the brand with desired topics. This
chapter describes the functionalities of the SBS Brand Intelligence App (SBS
BI), which has been designed to assess brand importance and provides brand
analytics through the analysis of (big) textual data. To better describe the
SBS BI's functionalities, we present a case study focused on the 2020 US
Democratic Presidential Primaries. We downloaded 50,000 online articles from
the Event Registry database, which contains both mainstream and blog news
collected from around the world. These online news articles were transformed
into networks of co-occurring words and analyzed by combining methods and tools
from social network analysis and text mining.
