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Studies in Classification, Data Analysis, and Knowledge Organization

Studies in Classification, Data Analysis, and Knowledge Organization: Advances and Challenges

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Studies in Classification, Data Analysis, and Knowledge Organization: Advances and Challenges

Iezzi, Domenica Fioredistella; Mayaffre, Damon; Misuraca, Michelangelo

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing. 

Details

Published by: Springer

Publication Date: 2020-11-25

Format: Paperback

ISBN-13: 9783030526795

DOI: 10.1007/978-3-030-52680-1

Dimensions: 235cm x155cm

Pages: 302

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