Paul Barba
Chief scientist at inMoment
Paul Barba is chief scientist at InMoment, where he is focused on applying machine learning, natural language processing, and other artificial intelligence technologies to solve the challenges related to analyzing mountains of unstructured feedback data in the customer experience (CX) market. Barba has spearheaded the integration of generative AI and large language models into InMoment's NLP stack and continues to drive that development as new capabilities come to market. He has nearly two decades of experience in diverse areas of NLP and machine learning, from sentiment analysis and machine summarization to genetic programming and bootstrapping algorithms and is continuing to bring cutting-edge research to solve everyday business problems while working on new big ideas to push the entire field forward. He earned a degree in computer science and mathematics from the University of Massachusetts at Amherst.
Articles by
Paul Barba
A sectional approach to text analytics is one of the most important advances in the field in the past 10 years.
Posted September 30, 2024