Abstract
Web search engines of any kind have to mainly deal with natural language text to carry out their tasks. Therefore, this chapter is dedicated to basic and advanced methods for state-of-the-art natural language processing and text mining. Here, the focus is set on graph-based methods approaches to determine characteristic terms or words in texts and to measure their semantic relatedness. Furthermore, algorithms for the clustering of words and texts are discussed.
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- 1.
For the German language, the analogous resource is GermaNet (http://www.sfs.uni-tuebingen.de/GermaNet/).
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Kubek, M. (2020). Natural Language Processing and Text Mining. 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_4
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DOI: https://doi.org/10.1007/978-3-030-23136-1_4
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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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