Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Visualizing Reuters Editorial Investment
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Visualizing Reuters Editorial Investment
Data Visualization

Visualizing Reuters Editorial Investment

matthewhurst
matthewhurst
1 Min Read
SHARE

This is a very early view of a work in progress. The process is to crawl Reuters, extract the attribution of each article (writers and editors) and extract the mention of country names. Then, using gephi, to visualize the relationships, thus – in this case – showing which editors are associated with the mention of which countries. In this snippet, countries have mutual links (red) with other countries they are collocated with. Editors have directed edges (green) with the country mentions they are associated with.

This is a very early view of a work in progress. The process is to crawl Reuters, extract the attribution of each article (writers and editors) and extract the mention of country names. Then, using gephi, to visualize the relationships, thus – in this case – showing which editors are associated with the mention of which countries. In this snippet, countries have mutual links (red) with other countries they are collocated with. Editors have directed edges (green) with the country mentions they are associated with.

CountriesEditors

 

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Kapow Software harvests and virtualizes information and applications for business.

7 Min Read

O’Reilly Chums the Water: Ken Hilburn Rises to the Bait

3 Min Read

Because it’s Friday: Minard goes Mainstream

3 Min Read

Why IT Doesn’t “Get” Analytics (and Why the Time is Right for Change)

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?