Classification of educational videos by using a semi-supervised learning method on transcripts and keywords

Abstract

[EN] E-learning is a rapidly growing field, which is giving rise to a massive amount of digital learning objects. Sorting these objects properly so that they are correctly indexed in searches and recommendation systems is a challenge. In this paper, we present a semi-supervised method of clustering and classifying learning objects in video format to extract their most relevant topics, specifically from lesson transcripts. These videos come from the educational video platform of the Universitat Politencia de Valencia. The proposed method also uses open content from Wikipedia to help build the labelled dataset.