We enjoyed another great talk at our February 24 virtual meetup. Thanks to Fred Reiss for sticking around an extra 15 minutes to answer all of your excellent questions.
Most areas of Python data science have standardized Pandas DataFrames for representing and manipulating structured data in memory. Natural Language Processing, though, not so much. In this presentation, we’ll explain why you should be using Pandas for NLP. Pandas DataFrames make every phase of NLP easier, from creating new models to evaluating their effectiveness to building applications that integrate those models. We’ll talk about our open source library, Text Extensions for Pandas, which adds special data types and library integrations specifically geared to NLP use cases. We’ll also explain how these extensions connect to some basic NLP concepts, and then we’ll finish with an example of using Pandas to build an NLP application.
Fred Reiss is a Principal Research Staff Member at IBM Research and Chief Architect at IBM’s Center for Open-Source Data and AI Technologies (CODAIT). He is also one of the authors of the Text Extensions for Pandas library. Fred received his Ph.D. from U.C. Berkeley in 2006 and immediately IBM Research, joining the CODAIT center in 2015. Fred has written multiple peer-reviewed papers in the areas of natural language processing, database systems, and machine learning.
For those of you who missed it, here’s the recording:
And here are Fred’s slides.
- Details for our March virtual meetup have been announced. Join us Wednesday, March 16 to learn about Trustworthy Machine Learning. Check the calendar for details and to RSVP.
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Have a great weekend! Hope to see you March 16 at our next event!#virtualmeetup