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Titlebook: New Frontiers in Textual Data Analysis; Giuseppe Giordano,Michelangelo Misuraca Conference proceedings 2024 The Editor(s) (if applicable)

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書目名稱New Frontiers in Textual Data Analysis
編輯Giuseppe Giordano,Michelangelo Misuraca
視頻videohttp://file.papertrans.cn/670/669660/669660.mp4
概述Presents modern statistical analysis methods for textual data.Showcases applications in sociology, psychology, politics, business and economics.Adopts a multidisciplinary approach to textual data anal
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: New Frontiers in Textual Data Analysis;  Giuseppe Giordano,Michelangelo Misuraca Conference proceedings 2024 The Editor(s) (if applicable)
描述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..
出版日期Conference proceedings 2024
關鍵詞Textual Data Analysis; Statistical Analysis of Textual Data; Text Mining; Text Analytics; Emotional Text
版次1
doihttps://doi.org/10.1007/978-3-031-55917-4
isbn_softcover978-3-031-55916-7
isbn_ebook978-3-031-55917-4Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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