Social media,
Online Disinformation,
and Elections

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GATE in brief

GATE has open-source models and algorithms for information extraction (IE), social media analytics, machine learning for IE, knowledge graphs and semantic annotation, and natural language processing-as-a-service. In total, the infrastructure and all its open source components and models comprise over 350,000 lines of code.

The GATE infrastructure is unique in its offering to both researchers and companies, a comprehensive platform-as-a-service – GATE Cloud. In the past year it attracted over 290 registered users, who used the services over 37,000 times.

Large-scale IE is a particular strength, where GATE is used as the platform to extract information from the web, news wires, scientific papers, and legal and medical documents. Selected example users include:

  • BBC in 2012, which used the development of robust, scalable IE from patents for automating the coverage of the Olympic games through semantic annotation.

  • WHO epidemiologists who found the first gene-disease association linking lung cancer and smoking.

Other examples in the UK:

  • Garlik (from the founders of Egg PLC) to fight identity theft

  • Innovantage for intelligent recruiting

  • Fizzback (now NICE) for analysing customer feedback

  • The UK National Archives

  • The Press Association

  • Financial Times

  • The Stationery Office

  • Nesta

  • TechCity UK

  • Synaptica

  • Text Mining Solutions

  • Buzzfeed UK

  • Public Health England

Contact us

To send us feedback or if you are interested in collaboration, email contact@gate.ac.uk.

Visit the GATE website for more information about text analysis and language processing.

Find out more about the Computer Science Department at the University of Sheffield.


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