Abstract Details
Activity Number:
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315
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #310643
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View Presentation
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Title:
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Mining Text Data in Networks of Documents
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Author(s):
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David Banks*+
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Companies:
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Duke University
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Keywords:
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Chinese Restaurant Process ;
Computational Advertising ;
Text Networks ;
Topic Models
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Abstract:
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Business analytics, and especially computational advertising, rely heavily upon text mining to estimate the revenue potential of websites or assess the kinds of products a consumer may want to purchase. Bag-of-words models have been surprisingly successful, but semantic content is also important. Additionally, there is often relevant information in text networks. This talk describes methods for mining text data in a network of documents.
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Authors who are presenting talks have a * after their name.
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