Spotter is "a next-generation
text mining company”
(see Stephen Arnold's paper in the Search Wizards Speak series)
Spotter’s technology combines content acquisition, content processing, and output generation in a form tailored to a business professional.
Spotter has invested 20 person years in research and development. We have built linguistic, and semantic core-technology plus the analytic solutions.
We have hired the former Datops chief technology officer, Olivier Massiot. He created the LexisNexis text mining and analytics technology.
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The key point of our technological offer is our "bundle"
> We deliver a solution, not a collection of puzzle pieces. The main competitive advantage of Spotter is to be able to provide to its clients a full decision-making solution which includes analytics and our decision management system. > Our ability to capture, monitor and analyze decisions and their impact requires rich, higher order meta data constructs - Our technology indexes a wide range of content. On social Media for example, we apply what we call "specific structure surveillance" as part of content processing. These algorithms have been adapted to each type of social media content such as postings on a blog, comments, discussion threads, and so on. > Our linguistic and semantic engine applies text mining and sentiment analysis techniques - This means entity detection, speech detection, and sentiment analysis. When we perform consumer conversation analysis, our text mining and indexing systems will extract the ‘"who says what and how on which product or brand". > Our solution is engineered to link efficiency and quality control throughout the content processing "chain." |
Find out more about Spotter's Solutions >>