Market Brand Analysis using Python NLTK w/ Robert Lee

  • June 17, 2014 · 6:00 PM

About the talk:

Natural Language Processing (NLP) is a field in Computer Science that seeks to derive linguistic meaning from human (natural) languages. Combined with Machine Learning, NLP has many applications in the commercial sector: information extraction, sentiment analysis, speech recognition, to name a few. In this talk, we will leverage Python's Natural Language Toolkit (NLTK) to perform a Market Brand Analysis on a collection of brand surveys to cluster and extract a marketable brand from user responses.

About Robert:

Robert Lee is a recent graduate of University of Richmond as a Computer Science and Physics dual major. Since graduating, Robert has worked as a Java/Python software developer on several contracts ranging from utilizing NLP to perform brand analysis to writing trajectory prediction algorithms for Air Traffic Management software. Robert is also working on completing Sentalytics - software that will enable clients to track customer sentiment over time.

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