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A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| CE_12C | Mon, 8/4/2014, 8:00 AM - 12:00 PM | CC-160A | |
| A Statistician's Guide to Analyzing Unstructured Textual Data — Professional Development Continuing Education Course | |||
| ASA | |||
| Statisticians need to understand how to work with unstructured textual data because overwhelming amounts of such textual data are now being generated via call center logs, emails, documents on web, blogs, tweets, customer reviews and so on. While the amount of textual data are increasing rapidly, analysts ability to summarize, understand and make sense of such data for making more informed decisions remain challenging. This short course takes a quick look at how to collect, organize and analyze textual data for extracting deeper insights into any research problem. The course will illustrate how such insights can be used to help businesses build better relationships with their customers. Applications of text analytics covering various industries such as retail, healthcare, education etc. will be discussed (1) definition, history and architecture of text analytics (2) collecting textual data and parsing it for classification and entity extraction (3) feature selection, dimensionality reduction, SVD in text analytics (4) clustering and predictive modeling in text analytics (5) data mining, natural language processing and hybrid methods of sentiment analysis The course will include about 1.5-2 hours of lecture about theories and topics mentioned above and about 1 hour of demonstrations of applications of above topics using data. From different industries While SAS® products will be used as tools for demonstration only, the topics and theories covered will be generic (not tool specific). | |||
| Instructor(s): Goutam Chakraborty, Oklahoma State University | |||
2014 JSM Online Program Home
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