| Team Name | NLPioneers |
| Track | Public Sector |
| Use Case | Currently it's hard to classify sentiment besides Pos/Neg/Neutral, it also requires to classify by topics, identify those topics and explore the context of open ended survey responses. This application can be useful to measure and gather insights from the government services offered to the public. |
| Technology |
SAS Viya text analytics. |
| Region | North America |
| Team lead | Rodrigo Velazquez Espinosa |
| Team members | @RodrigoV |
| Social media handles | (14) Rodrigo Velazquez | LinkedIn |
| Is your team interested in participating in an interview? | Y |
| Optional: Expand on your technology expertise | Y |
Team Picture:
Very nice pitch video and great application of NLP using SAS Model Studio. Good job!
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