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Lexicon-Based Sentiment Analysis in Behavioral Research.

Ian Cero1, Jiebo Luo2, John Michael Falligant3,4

  • 1Department of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY 14642 USA.

Perspectives on Behavior Science
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Summary
This summary is machine-generated.

Behavior analysts can now efficiently study human verbal behavior using lexicon-based sentiment analysis. This modern approach overcomes resource limitations of traditional coding systems, enabling broader research into language functions.

Keywords:
Data scienceMatchingNatural language processingSentimentText analysisVerbal behavior

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Area of Science:

  • Behavioral science
  • Psychology
  • Linguistics

Background:

  • A comprehensive science of human behavior necessitates understanding verbal behavior.
  • Current behavioral theories offer insights but lack extensive research due to resource-intensive coding systems.
  • High costs associated with manual coding discourage research on verbal behavior.

Purpose of the Study:

  • To introduce lexicon-based sentiment analysis as an efficient tool for studying human verbal behavior.
  • To demonstrate the utility of sentiment analysis for behavior analysts.
  • To outline methods for analyzing complex speech patterns within a behavior analytic framework.

Main Methods:

  • Utilizing lexicon-based sentiment analysis for the study of verbal products.
  • Applying sentiment analysis to naturally occurring verbal data (e.g., social media, transcripts).
  • Developing approaches for handling linguistic complexities like negation, sarcasm, and speculation.

Main Results:

  • Sentiment analysis offers a more modern and efficient alternative to manual coding systems.
  • This approach reduces resource intensity, encouraging more research on verbal behavior.
  • The study provides a framework and practical examples for applying sentiment analysis in behavior analysis.

Conclusions:

  • Lexicon-based sentiment analysis is a valuable and efficient behavior analytic tool.
  • This method facilitates the study of complex verbal behavior and naturally occurring language.
  • The proposed approach can invigorate research in the science of human behavior.