Publikation: Are my children old enough to read these books? : age suitability analysis
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2011
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Polibits : research journal on computer science and computer engineering with applications. 2011, 43, pp. 93-100. Available under: doi: 10.17562/PB-43-13
Zusammenfassung
In general, books are not appropriate for all ages, so the aim of this work was to find an effective method of representing the age suitability of textual documents, making use of automatic analysis and visualization. Interviews with experts identified possible aspects of a text (such as ’is it hard to read?’) and a set of features were devised (such as linguistic complexity, story complexity, genre) which combine to characterize these age related aspects. In order to measure these properties, we map a set of text features onto each one. An evaluation of the measures, using Amazon Mechanical Turk, showed promising results. Finally, the set features are visualized in our age-suitability tool, which gives the user the possibility to explore the results, supporting transparency and traceability as well as the opportunity to deal with the limitations of automatic methods and computability issues.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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Information interfaces and presentation, information search and retrieval
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WANNER, Franz, Johannes FUCHS, Daniela OELKE, Daniel A. KEIM, 2011. Are my children old enough to read these books? : age suitability analysis. In: Polibits : research journal on computer science and computer engineering with applications. 2011, 43, pp. 93-100. Available under: doi: 10.17562/PB-43-13BibTex
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year={2011},
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title={Are my children old enough to read these books? : age suitability analysis},
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pages={93--100},
author={Wanner, Franz and Fuchs, Johannes and Oelke, Daniela and Keim, Daniel A.}
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<dcterms:abstract xml:lang="eng">In general, books are not appropriate for all ages, so the aim of this work was to find an effective method of representing the age suitability of textual documents, making use of automatic analysis and visualization. Interviews with experts identified possible aspects of a text (such as ’is it hard to read?’) and a set of features were devised (such as linguistic complexity, story complexity, genre) which combine to characterize these age related aspects. In order to measure these properties, we map a set of text features onto each one. An evaluation of the measures, using Amazon Mechanical Turk, showed promising results. Finally, the set features are visualized in our age-suitability tool, which gives the user the possibility to explore the results, supporting transparency and traceability as well as the opportunity to deal with the limitations of automatic methods and computability issues.</dcterms:abstract>
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