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.