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Activity Number:
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74
- Text Analysis in Machine Learning and Statistical Models
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Quality and Productivity Section
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Abstract #309599
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Title:
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Finding the Source of Grandma’s Chili: Investigative Text Mining
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Author(s):
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Scott Wise*
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Companies:
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SAS Institute, Inc.
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Keywords:
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Text Mining;
Topic Analysis
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Abstract:
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The power of using Text Mining is a great tool in investigating all kinds of unstructured text that commonly resides in our collected data. From notes captured on warranty issues, lab testing/experimental comments, to even looking at food recipes, this new method opens a lot of opportunity to better understand our world. In this presentation, we will show how to us the latest text analytic methods to help solve a family mystery as to the regional source of my Grandma’s delicious chili recipe. Along the way we will see how to use text mining to create leading terms and phrase lists and word cloud reports. Then we will utilize the resulting document term matrix to perform topic analysis (via latent class analysis clustering) that will enable us to find a solution to our question. You will be left with an understanding of the powerful text mining approaches that you can add to your own toolbox and start solving your own text data challenges!
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Authors who are presenting talks have a * after their name.
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