ConTag: Conceptual Tag Clouds Video Browsing in e-Learning

초록

This paper presents our proposed method to automatically generate topical video content by exploiting video transcripts to generate Conceptual graph and Tag clouds visualization, known as “ConTag” or Contextual Tag. The system is able to provide users with contextual information according to the video content. To achieve this we employed popular text mining algorithm, TF-IDF model and phrase association algorithm, Apriori algorithm. In this work, we also solved passive learning problem by facilitating users with interactive conceptual visualization system and communication mechanism over SNS which accompanied by contextual and temporal information correspond to the particular time and scene from the video.