Case Study: Brandtix achieves real-time, multilingual sports sentiment insights with Lexalytics Semantria API

A Lexalytics Case Study

Preview of the Brandtix Case Study

Brandtix Scores an Analytics Goal

Brandtix, a sports technology company behind the Brandtix Sports Index Platform (SIP), needed to turn noisy, jargon-filled sports chatter into actionable brand insights for players, agents, teams and fans. Faced with ambiguous language and overlapping names (e.g., “Ronaldo is sick” or “Emirates” as airline vs stadium), Brandtix turned to Lexalytics and its Semantria API for robust sentiment analysis and entity extraction.

Lexalytics’ Semantria API was integrated into Brandtix’s Index Social Sentiment Intelligence Engine in about 1 month, enabling accurate sentiment and entity detection across 19 languages and processing 500,000+ documents per day. The solution disambiguates brands from venues, surfaces true positive/negative context in fan vernacular, helps franchise owners and agents address PR issues proactively, and reduced costs by combining extraction and sentiment into a single billing action with Lexalytics.


Open case study document...

Brandtix

Shahar Fogel

VP Product


Lexalytics

14 Case Studies