Highlights of the Solution
Wipro used a Taxonomy Generator, built in-house, forthe categorization of social media data into relevant themes like functionality,
issues, network, environment, competition and content.
Based on preset rules and configurations defined by the client, data was collected from diverse social media in real time, using a social
Data Preparation by categorization
Data categorization was leveraged to identify critical issues, recent trending topics and the right customer sentiments about the
product under analysis.
Text Analytics Engine
The data was then fed into an in-house built Text Analytics Engine which transforms social media data into a more structured format
that can be analyzed quantitatively.
Finally, insights were obtained around competitor trends, geography/demography/topic based sentiment, product launches, campaigns,
product/service performance to assess how sentiments were changing over time.