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New Frontiers in Textual Data Analysis

  • Conference proceedings
  • Aug 2024

Overview

Editors:
  1. Giuseppe Giordano

    1. Department of Political and Social Studies, University of Salerno, Fisciano, Italy

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  2. Michelangelo Misuraca

    1. Department of Business Administration and Law, University of Calabria, Rende, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents modern statistical analysis methods for textual data
  • Showcases applications in sociology, psychology, politics, business and economics
  • Adopts a multidisciplinary approach to textual data analysis

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Keywords

  • Textual Data Analysis
  • Statistical Analysis of Textual Data
  • Text Mining
  • Text Analytics
  • Emotional Text Mining
  • Sentiment Analysis
  • Natural Language Processing
  • Social Media Mining
  • Applications in the Social Sciences
  • Applications in Public Health
  • Classification
  • Clustering
  • Deep Learning
  • Network Analysis
  • Latent Dirichlet Allocation
  • Data Mining

About this book

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public health which apply textual data analysis methods.

The refereed contributions were originally presented at the 16th International Conference on Statistical Analysis of Textual Data (JADT 2022), which took place in Naples, Italy, on July 6-8, 2022. The biennial JADT meeting discusses theories, problems, and practical uses of textual data analysis in various fields, sharing a quantitative approach to the study of lexical, textual, pragmatic or discursive features of information expressed in natural language.

Editors and Affiliations

  • Department of Political and Social Studies, University of Salerno, Fisciano, Italy

    Giuseppe Giordano

  • Department of Business Administration and Law, University of Calabria, Rende, Italy

    Michelangelo Misuraca

About the editors

Giuseppe Giordano is an Associate Professor of Statistics at the Department of Political and Social Studies, University of Salerno, Italy. He teaches Statistics and Analytics for the Social Sciences. His research interests are mainly in Multidimensional Data Analysis, Social Network Analysis, and Analysis of Complex Data Structures with a focus on real problems emerging in several applicative fields.

Michelangelo Misuraca is an Associate Professor of Statistics for Social Sciences at the Department of Business Administration and Law, University of Calabria, Italy. He teaches Statistics for Social Sciences and Textual Statistics at the University of Calabria and at the University of Naples Federico II. He is a fellow of the Italian Statistical Society (SIS) and of the Royal Statistical Society (RSS). His primary research interests are in the domain of Text Mining and Social Media Mining

Bibliographic Information

  • Book Title: New Frontiers in Textual Data Analysis

  • Editors: Giuseppe Giordano, Michelangelo Misuraca

  • Series Title: Studies in Classification, Data Analysis, and Knowledge Organization

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-55916-7Due: 22 August 2024

  • eBook ISBN: 978-3-031-55917-4Due: 22 August 2024

  • Series ISSN: 1431-8814

  • Series E-ISSN: 2198-3321

  • Edition Number: 1

  • Number of Pages: X, 330

  • Number of Illustrations: 32 b/w illustrations, 82 illustrations in colour

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