Accession Number:

ADA439422

Title:

Extracting Social Networks and Contact Information From Email and the Web

Descriptive Note:

Corporate Author:

MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE

Report Date:

2005-01-01

Pagination or Media Count:

9.0

Abstract:

We present an end-to-end system that extracts a users social network and its members contact information given the users email inbox. The system identifies unique people in email, finds their Web presence, and automatically fills the fields of a contact address book using conditional random fields a type of probabilistic model well-suited for such information extraction tasks. By recursively calling itself on new people discovered on the Web, the system builds a social network with multiple degrees of separation from the user. Additionally, a set of expertise-describing keywords are extracted and associated with each person. We outline the collection statistical and learning components that enable this system, and present experimental results on the real email of two user we also present results with a simple method of learning transfer, and discuss the capabilities of the system for address book population, expert-finding, and social network analysis.

Subject Categories:

  • Information Science
  • Psychology
  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE