Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.
eFaqt is a portal on which students can study their textbooks with speedlearning techniques such as mind mapping, effective reading patterns and optimised review methodologies. In eFaqt, students make flashcards and notes. To extend their service, eFaqt wanted to create landing pages on their website that contain content related to a specific topic based on content that was provided by the users while studying: a bit like a Wikipedia page, but with flashcards, not just text. This would allow eFaqt to attract more users via SEO optimised landing pages.
Xomnia performed text mining on a large dataset of user-created flashcards of text books, Powerpoint presentations, articles, classes, etc. After in-depth natural language analysis, Xomnia extracted keywords and structured the data into topics and subtopics. Now, eFaqt is able to provide content landing pages that answer all questions related to a certain topic.