JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 315
Type: Invited
Date/Time: Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #310643 View Presentation
Title: Mining Text Data in Networks of Documents
Author(s): David Banks*+
Companies: Duke University
Keywords: Chinese Restaurant Process ; Computational Advertising ; Text Networks ; Topic Models
Abstract:

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.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.