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New Frontiers in Textual Data Analysis

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New Frontiers in Textual Data Analysis

Giuseppe Giordano, Michelangelo Misuraca

Springer
Publication date : 2024-09-23

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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.

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About the book

Author

Giuseppe Giordano , Michelangelo Misuraca

Imprint

Springer

Collection

n.c

Publication date

2024-09-23

Pages

396 pages

Print ISBN

9783031559167

Language

English

Ebook informations

EAN PDF

9783031559174

Price

£139.99

Copy count 3

Print count 39

File size 17961 Ko

Informations accessibility

EAN EPUB

9783031559174

Price

£139.99

Copy count 3

Print count 39

File size 28426 Ko

Informations accessibility

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About author(s)

Giuseppe Giordano

Michelangelo Misuraca

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

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