Visualization of subjective extracted text using the parse tree

Text visualization is a well-known technique used in note taking and obviating the difficulties of the learners in focusing on important portions of the text materials to be learnt. On the other hand applying the text visualization methods on the extracted sections required by the learners will amp...

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Main Authors: Mirzabeiki, Erfan, Abdullah, Lili Nurliyana
Format: Article
Published: Research and Publication Unit, University of Asia Pacific 2014
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author Mirzabeiki, Erfan
Abdullah, Lili Nurliyana
author_facet Mirzabeiki, Erfan
Abdullah, Lili Nurliyana
author_sort Mirzabeiki, Erfan
collection UPM
description Text visualization is a well-known technique used in note taking and obviating the difficulties of the learners in focusing on important portions of the text materials to be learnt. On the other hand applying the text visualization methods on the extracted sections required by the learners will amplify the efficiency of perceiving from the text. This paper intends to propose an automatic approach for subjective extracted text visualization to improve leaning from digital text. The main function of this approach divided into two parts, firstly: sentence extraction based on the inclusion of a significant part of speech and role of the words in sentence (i.e. Noun/Names/Places/dates Numbers/ Events) by using the parse tree, secondly: Visualization of the extracted information for maintaining the user’s attention on the content were developed on the basis of psychological, multimedia, and typographic cueing foundations and techniques (visual effects). This experiment conducted on different sample texts in the field of “History” in order to visualize the extracted part.
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spelling upm.eprints-359912016-02-12T07:21:30Z http://psasir.upm.edu.my/id/eprint/35991/ Visualization of subjective extracted text using the parse tree Mirzabeiki, Erfan Abdullah, Lili Nurliyana Text visualization is a well-known technique used in note taking and obviating the difficulties of the learners in focusing on important portions of the text materials to be learnt. On the other hand applying the text visualization methods on the extracted sections required by the learners will amplify the efficiency of perceiving from the text. This paper intends to propose an automatic approach for subjective extracted text visualization to improve leaning from digital text. The main function of this approach divided into two parts, firstly: sentence extraction based on the inclusion of a significant part of speech and role of the words in sentence (i.e. Noun/Names/Places/dates Numbers/ Events) by using the parse tree, secondly: Visualization of the extracted information for maintaining the user’s attention on the content were developed on the basis of psychological, multimedia, and typographic cueing foundations and techniques (visual effects). This experiment conducted on different sample texts in the field of “History” in order to visualize the extracted part. Research and Publication Unit, University of Asia Pacific 2014-03 Article PeerReviewed Mirzabeiki, Erfan and Abdullah, Lili Nurliyana (2014) Visualization of subjective extracted text using the parse tree. International Journal of Computer and Information Technology, 3 (2). pp. 333-340. ISSN 2279-0764 http://www.ijcit.com/Vol3Issue2.php
spellingShingle Mirzabeiki, Erfan
Abdullah, Lili Nurliyana
Visualization of subjective extracted text using the parse tree
title Visualization of subjective extracted text using the parse tree
title_full Visualization of subjective extracted text using the parse tree
title_fullStr Visualization of subjective extracted text using the parse tree
title_full_unstemmed Visualization of subjective extracted text using the parse tree
title_short Visualization of subjective extracted text using the parse tree
title_sort visualization of subjective extracted text using the parse tree
work_keys_str_mv AT mirzabeikierfan visualizationofsubjectiveextractedtextusingtheparsetree
AT abdullahlilinurliyana visualizationofsubjectiveextractedtextusingtheparsetree