An Efficient Expansion Word Extraction Algorithm for Educational Video

In recent years, watching educational videos online has become an important method of learning. The research purpose of this paper is to provide an efficient method to improve learning efficiency for users watching online educational videos. It is an effective way to help users understand video content by extracting key words of concern in the video, which is also a hot issue in video analysis. This paper proposes a solution to extract the expansion words from the video to help users understand and learn terminologies. The extracted expansion words help us quickly obtain the meaning of new words by knowledge base association, and further expand the depth and breadth of video content while learning the content in video. An improved keyword extraction algorithm is proposed in this paper, which redistributes the weights of extracted keywords to improve the recall of low frequency new words or terminologies. The experimental results show that the video expansion word extraction method proposed in this paper can effectively extract the proper nouns and terminologies in the video.