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Text Mining for Information Professionals pp 173–190Cite as

Burst Detection

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Abstract

This chapter provides a theoretical framework for burst detection, including its advantages, disadvantages, and other essential features. It further enumerates various open-source tools that can be used to conduct burst detection and discusses the use cases on how the information professionals can apply it in their daily lives. The chapter is followed by a case study using two different tools to demonstrate the application of burst detection in libraries.

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  • DOI: 10.1007/978-3-030-85085-2_6
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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). Burst Detection. In: Text Mining for Information Professionals. Springer, Cham. https://doi.org/10.1007/978-3-030-85085-2_6

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  • DOI: https://doi.org/10.1007/978-3-030-85085-2_6

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