Text Mining

Text Mining

Special Chair on Text Mining from the Department of Advanced Computer Sciences of the University of Maastricht

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Tag: ICTY

28 April 201928 April 2019 J.C. Scholtes

Understanding the difference between legal search and Web search: What you should know about search tools you use for clinical, investigative or legal search

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  • GPT-3 and ChatGPT: Explained
  • How to find more relevant information!
  • Publications
  • Text-Mining the Lord of the Rings
  • How Technology can Help Investigators to Discover the Golden W’s
  • Automatic Fraud Triangle Analytics made possible with Text-Mining and Content Analytics
  • Public Presentations on Text-Mining, AI & LegalTech
  • Text-Mining Formula 1
  • Dealing with Documents in other Languages than English
  • Do you really understand the impact of Exponential Growth?

Topics

Artificial Intelligence Audio Search Battlefield Data Visualization Deep Learning eDiscovery Email Emotion and Sentiment Mining Fraud Investigations Image Search LegalTech Machine Translation Natural Language Processing (NLP) Search Social Networks Text Mining

Recent Posts

  • GPT-3 and ChatGPT: Explained
  • Text Mining to Analyze the Evolution of the most popular R&B and Hip-Hop Songs
  • Big Data Analytics for Legal Fact-Finding
  • How can Artificial Intelligence help on the Battlefield?
  • Understanding the difference between legal search and Web search: What you should know about search tools you use for clinical, investigative or legal search

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Text-Mining R&B and Hip-Hop

Text Mining the Game of Thrones

https://www.youtube.com/watch?v=M-Bigng41FY

Text Mining the Lord of the Rings

https://www.youtube.com/watch?v=a_R0wToddlI

Extracting Harry Potter’s Spells with Text Mining

Great article on UM blog on recent text-mining project:

https://www.maastrichtuniversity.nl/news/extracting-spells-harry-potter

 

Categories

  • Artificial Intelligence
  • Audio Search
  • Battlefield
  • Data Visualization
  • Deep Learning
  • eDiscovery
  • Email
  • Emotion and Sentiment Mining
  • Fraud Investigations
  • Image Search
  • LegalTech
  • Machine Translation
  • Natural Language Processing (NLP)
  • Search
  • Social Networks
  • Text Mining

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