Mining social media data of people with rare diseases - Laia Subirats скачать в хорошем качестве

Mining social media data of people with rare diseases - Laia Subirats

My proposal is divided into in 3 sections. The first is to analyze Facebook data related to rare diseases. The second analyzes data from Twitter during the World Day of Rare Diseases 2017. Finally, the third explains how ontologies help to represent knowledge and shows a use case in the context of rare diseases. ------------------------- Laia Subirats (1985, Barcelona) is a data science researcher at Eurecat - Technology Centre of Catalonia and a part-time lecturer at Open University of Catalonia. She holds a PhD in Computer Science from Autonomous University of Barcelona and she has more than 10 years of experience in R&D projects in disciplines such as artificial intelligence, social networks and ontologies; both in national and international centers. She loves working in innovative, interdisciplinary and international environments and she is very passionate about improving the quality of life of people using technology. ------------------------------ Todos los videos de WTM Barcerlona    • Women Techmakers Barcelona 2018   Suscríbete a nuestra newsletter; https://goo.gl/5jc6uP Facebook; https://goo.gl/o8HrWX Twitter; https://goo.gl/MU5pUQ LinkedIn https://goo.gl/2On7Fj/