XVI.2 Watson News Explorer
Watson News Explorer makes use of Watson Discovery News, which scans 300,000 English-language news articles daily and uses natural language processing to convert them into a searchable network of topics. Natural language processing is a branch of artificial intelligence that combines linguistics with computing power. Natural language processing is at work in language translation apps, grammar checkers, and computerized personal assistants like Siri and Alexa. This macroscope, designed by Steven Ross, Timothy Stutts, Megan Monroe, and Mauro Martino of IBM’s Visual AI Lab, uses natural language processing to identify and link entities like names, locations, companies, and organizations.
The macroscope offers four ways to dive into the news: a world map, a timeline, a word cloud, and a network. These visualizations are linked, so that searching in one will highlight connections in the others. You can also search for multiple keywords to reveal links that connect seemingly unrelated topics.
Watson News Explorer can be found at https://news-explorer.mybluemix.net/.
Ross, Steven, Andrew, Timothy Stutts, Megan Monroe, and Mauro Martino. 2020. Watson News Explorer. In “16th Iteration (2020): Macroscopes for Harnessing the Power of Data.” Places & Spaces: Mapping Science, edited by Katy Börner, Lisel Record, and Todd Theriault. http://scimaps.org.
- What is a Science Map?
- What is a Macroscope?
- Annual Report 2016
- Annual Report 2015
- Annual Report 2014
- Annual Report 2013
- Annual Report 2012
Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.