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Text mining methodologies with R: An application to central bank texts

Jonathan Benchimol · Sophia Kazinnik · Yossi Saadon

52 citations0/0 files storedMachine Learning with Applications

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Text and Document Classification Technologies

Abstract

We review several existing text analysis methodologies and explain their formal application processes using the open-source software R and relevant packages. Several text mining applications to analyze central bank texts are presented.

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References

2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks 2003Extracting Policy Positions from Political Texts Using Words as Data 2008Text Mining Infrastructure in R 1993Coding Choices for Textual Analysis: A Comparison of Content Analysis and Map Analysis 2015Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication 2007Communication by Central Bank Committee Members: Different Strategies, Same Effectiveness?2015Text Mining for Central Banks

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