Abstract
This chapter introduces the core librarian-inspired concepts and text analysis techniques needed for the realisation of the ‘Librarian of the Web’. In particular, a new graph-based approach to represent text documents and search queries alike by single, descriptive terms, called centroid terms, as well as a method for their fast calculation will be presented and evaluated. Important properties of centroid terms and their applicability in automatic text processing tasks are investigated in a large set of experiments. As the following two chapters build upon and extend these fundamentals, their understanding is of high importance.
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Notes
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This can be achieved by adding a sufficiently high number of documents to it during its building process.
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Modified from https://commons.wikimedia.org/wiki/File:Bird_toy_showing_center_of_gravity.jpg, original author: APN MJM, Creative Commons licence: CC BY-SA 3.0.
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Interested readers may download these datasets (4.1 MB) from: http://www.docanalyser.de/sa-corpora.zip.
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Interested readers may download these datasets (1.03 MB) from: http://www.docanalyser.de/cd-prop-corpora.zip.
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Interested readers may download these datasets (1.3 MB) from: http://www.docanalyser.de/cd-corpora.zip.
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Kubek, M. (2020). Text-Representing Centroid Terms. In: Concepts and Methods for a Librarian of the Web. Studies in Big Data, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-23136-1_6
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DOI: https://doi.org/10.1007/978-3-030-23136-1_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23135-4
Online ISBN: 978-3-030-23136-1
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