- Research community concerned that proposed EP amendments to EU Copyright will be detrimental to scientific research and innovation
- "The EU should listen to the innovators, knowledge creators and developers when it comes to data mining: the potential benefits are too great to be ignored" says LIBER
- Research organisations concerned that EU copyright proposal may undermine Text and Data Mining, slow innovation
- European research libraries hopes the EU will not baulk at removing the last barriers to TDM
20.03.2017Today, the European Parliament took an important step to save the future of European research and innovation.
14.02.2017Innovative companies unite to promote a better policy environment for TDM in Europe.
Unlocking the Benefits of Text & Data Mining in Europe
TDM helps and ensures Europe's competitiveness and future prosperity
An introduction to Text and Data Mining from the Betty & Gordon Moore Library, University of Cambridge
Moodstock: a French startup used TDM to create a "Shazam for images"
Moodstocks is a French image recognition company whose technology is described as the “Shazaam” for images. It compares images taken by a consumer using their phone with an annotated, indexed set of images it stored on its servers.
The technology employed recognises user-uploaded pictures of posters, magazine photos, and product shots.
To train their image recognition technology Moostock used machine learning of third party content.