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Text Mining for Information Professionals pp 139–172Cite as

Network Text Analysis

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Abstract

This chapter covers the theoretical framework for network text analysis, including its advantages, disadvantages, and various essential features. Further, it covers various open-source tools that can be used to make a text network. Information professionals may use network text analysis to answer various research questions and get a better visual representation of textual data. Use cases that show the application of network text analysis in libraries are also covered. Lastly, to demonstrate the application of network text analysis in libraries better, two case studies are performed using the bibliometrix and textnets packages in R language.

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  • DOI: 10.1007/978-3-030-85085-2_5
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Authors and Affiliations

  1. Library and Information Science, University of Delhi, Delhi, India

    Manika Lamba & Margam Madhusudhan

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  1. Manika Lamba
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  2. Margam Madhusudhan
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Lamba, M., Madhusudhan, M. (2022). Network Text Analysis. In: Text Mining for Information Professionals. Springer, Cham. https://doi.org/10.1007/978-3-030-85085-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-85085-2_5

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