An Automatic and Innovative Approach for Converting Pedagogical Text Documents to Visual Learning Object

Ali Shariq Imran; Atif Mansoor; A. B.M.Tariqul Islam

doi:10.1007/978-3-319-07854-0_15

Abstract

HCI 2014: HCI 2014: HCI International 2014 - Posters’ Extended Abstracts In this paper, we present a novel idea of converting pedagogical text documents to visual learning objects by automatically extracting nouns and semantic keywords from the text documents, and representing these keywords as a word cloud. A word cloud contains words that are weighted based on frequency, time, appearance, etc., depending on the concept they are used for. Each word in the word cloud would correspond to a visual representation of that word. A visual representation may contain drawings, figures, images, etc. that explains the given concept. The extracted keywords are used to query the Internet to find the corresponding visual representation of a given word. The idea is to bring text documents to life by creating a visual representation of the important concepts from the text documents. This paper is a work in progress.

Original language	English
Pages	84-88
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-319-07854-0_15
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	International Conference on Human-Computer Interaction 2014 - Crete, Greece Duration: 22 Jun 2014 → 27 Jun 2014

Conference

Conference	International Conference on Human-Computer Interaction 2014
Abbreviated title	HCI2014
Country/Territory	Greece
City	Crete
Period	22/06/14 → 27/06/14

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10.1007/978-3-319-07854-0_15

Cite this

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abstract = "HCI 2014: HCI 2014: HCI International 2014 - Posters{\textquoteright} Extended Abstracts In this paper, we present a novel idea of converting pedagogical text documents to visual learning objects by automatically extracting nouns and semantic keywords from the text documents, and representing these keywords as a word cloud. A word cloud contains words that are weighted based on frequency, time, appearance, etc., depending on the concept they are used for. Each word in the word cloud would correspond to a visual representation of that word. A visual representation may contain drawings, figures, images, etc. that explains the given concept. The extracted keywords are used to query the Internet to find the corresponding visual representation of a given word. The idea is to bring text documents to life by creating a visual representation of the important concepts from the text documents. This paper is a work in progress.",

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doi = "10.1007/978-3-319-07854-0_15",

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An Automatic and Innovative Approach for Converting Pedagogical Text Documents to Visual Learning Object

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