A framework for information synthesis into sentiment indicators using text mining methods

DOI10.1080/03610926.2020.1837878OpenAlexW3096741027MaRDI QIDQ5093712

Roberto Casarin, Jorge E. Camargo, German Molina, Enrique ter Horst

Publication date: 1 August 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1837878

zbMATH Keywords

text miningsentiment indicatorsinformation synthesis

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10)

Uses Software

• R
• tm

Cites Work

• Complex dynamics of our economic life on different scales: insights from search engine query data
• Multinomial Inverse Regression for Text Analysis

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