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Correction: Maskit's Mathematical Contributions: The Smoothing Operator and DAAP Measures.

Journal of psycholinguistic research·2025
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Maskit's Mathematical Contributions: The Smoothing Operator and DAAP Measures.

Perry Susskind1

  • 1Department of Mathematics & Statistics, Connecticut College, 270 Mohegan Avenue, New London, CT, 06320, USA. pdsus@conncoll.edu.

Journal of Psycholinguistic Research
|July 8, 2025
PubMed
Summary

Bernard Maskit

Area of Science:

  • Mathematics
  • Computational Linguistics
  • Affective Computing

Background:

  • Bernard Maskit's work in multiple code theory is foundational.
  • Understanding emotional experiences in narratives is a growing area of research.

Purpose of the Study:

  • To explain Bernard Maskit's mathematical contributions to multiple code theory.
  • To explore Maskit's application of mathematical smoothing for narrative emotional analysis.

Main Methods:

  • Focuses on mathematical smoothing techniques.
  • Defines measures for extracting emotional information from narratives.

Main Results:

  • Introduces novel measures derived from mathematical smoothing.
  • These measures quantify emotional experiences conveyed in text.
Keywords:
DAAPMultiple code theorySmoothing operatorWeighting function

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Conclusions:

  • Maskit's mathematical approach offers a new way to analyze narrative emotion.
  • This work bridges complex mathematics with the understanding of human emotional expression.