Abstract Details
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Activity Number:
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375
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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WNAR
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Abstract #310770
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View Presentation
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Title:
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Text Analytics and Statistics
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Author(s):
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Terry Woodfield*+
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Companies:
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SAS Institute
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Keywords:
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text analytics ;
big data ;
computational linguistics ;
text mining
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Abstract:
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Many data elements in the world of Big Data are unstructured. Statisticians encounter textual data in the form of physician notes, call center dialogs, open-ended surveys, etc. Text analytics combines methodologies from computational linguistics, machine learning, and statistics to address ways to convert textual data into structured data that can be used to derive model inputs or target variables for inference or prediction. This presentation will briefly describe some of the intellectual barriers to finding information and resources for incorporating text analytics into a statistical solution. Computational issues related to natural language processing will be summarized. A few carefully chosen examples will be presented to illustrate some of the challenges of adding text analytics tools to Big Data solutions.
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Authors who are presenting talks have a * after their name.
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