New Frontiers in Textual Data Analysis (eBook)

Giuseppe Giordano, Michelangelo Misuraca (Herausgeber)

eBook Download: PDF

2024
XI, 396 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-55917-4 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 23.9.2024
• Reihe/Serie: Studies in Classification, Data Analysis, and Knowledge Organization
• Zusatzinfo: XI, 396 p. 129 illus., 99 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Themenwelt: Wirtschaft
• Schlagworte: Applications in Public Health • Applications in the Social Sciences • classification • Clustering • Data Mining • Deep learning • Emotional Text Mining • Latent Dirichlet Allocation • Natural Language Processing • network analysis • sentiment analysis • social media mining • statistical analysis of textual data • text analytics • Text Mining • textual data analysis
• ISBN-10: 3-031-55917-7 / 3031559177
• ISBN-13: 978-3-031-55917-4 / 9783031559174