Dynamic Word Clouds: Context-based Word Clouds of Presentation Slides for Quick Browsing

نویسندگان

  • Yuanyuan Wang
  • Kazutoshi Sumiya
چکیده

With the advent of online education services such as iTunes U and SlideShare, students are able to access various presentation files from many universities for study purposes. However, self-learners retrieving such files still need support to decide which files in candidate presentations are worth learning because most of the candidates are similar; it can be difficult to identify differences in the candidates. We consider that presentation flow is very important in presentation contents for identifying the differences in the candidates. In this paper, we introduce a quick browsing system to help a user effectively decide whether a presentation content is appropriate for his/her specific learning needs. Our method provides context-based word clouds that summarize slide information to help the user visually understand the context of one presentation content. In our method, words important to the “presentation context,” that is, the relevant information on the slides, are first extracted based on components of the presentation content (i.e., intra-slide structure and inter-slide structure). Then the word cloud is generated by weighting the words within the presentation context for each slide. Finally, the words in the word clouds are interactively presented with visual effects that reflect their semantic meanings. Keyword Presentation slides, Context-based word cloud, Quick browsing, E-learning,

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تاریخ انتشار 2013