ConTextWelcome 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:
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Jana Diesner Associate Professor iSchool |
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
- Contributors:
- Amirhossein Aleyasen
- Chieh-Li "Julian" Chin
- Ming Jiang
- Harathi Korrapati
- Lan Jiang
- Shubhanshu Mishra
- Nikolaus Nova Parulian
- Siva Ratna Kumari Narisetti
- Janina Sarol
- Kiumars Soltani
- Liang Tao
Contact
- Principal Investigator: Jana Diesner jdiesner@illinois.edu
- Email: context-gslis@illinois.edu
- Mailing list: Subscribe to ConText mailing list