CategoriesDigital learningMy Projects

Semantic Video Tool

Semantic Video Tool (SVT), project assignment presentation for the course on Information Retrieval and Text Mining of the Master course in Artificial Intelligence o Maastricht University. 

The assignment consists in the realisation of webbased application entitled Semantic Video Tool (SVT for short). Given the transcripts of more than 1300 videos web-crawled from TEDTalk, SVT is able to analyse the content of the videos dynamically through a
number of natural language processing and text-mining operations. For each video it extracts keywords and it generates automatic summaries and valuable insights; it also works as a search and a recommendation engine.



PDF report

Daniele DiMitri_IRTM Project Assignment Report

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

Leave a Reply

Your email address will not be published. Required fields are marked *