ConText

Welcome to ConText

ConText stands for Connections and Texts. This is our short way of saying that ConText supports a) the construction of network data from natural language text data, a process also known as relation extraction and b) the joint analysis of text data and network data.

Team

PI:
Jana Diesner
Assistant Professor
iSchool
Current Students
Amirhossein Aleyasen
Master Student
Computer Science
Chieh-Li "Julian" Chin
Software Developer
MCS '13, MS '12 GSLIS
Craig Evans
PhD Student
Informatics
Sandra Franco
Undergrad Student
Linguistics minor in Informatics
Ming Jiang
PhD Student
GSLIS
Jinseok Kim
PhD Student
GSLIS
Harathi Korrapati
Master Student
BioInformatics
Shubhanshu Mishra
PhD Student
GSLIS
Rezvaneh "Shadi" Rezapour
PhD Student
GSLIS
Kiumars Soltani
PhD Student
Informatics
Alumni
Liang Tao
Master Student
Agricultural Engineering

Acknowledgement

  • Sponsors:
    • FORD Foundation, grant No. 0125-6162. & No. 0145-0558
    • Center for Investigative Reporting, grant No. 2014-01967
    • additional gift support from Social Media Research Foundation, Peace is Loud, Shoot First, Hummingbird Pictures, VM People, and Robert Stone Productions

Contact