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International Conference on the Statistical Analysis of Textual Data

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....

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Detalles Bibliográficos
Autores principales: Iezzi, Domenica, Mayaffre, Damon, Misuraca, Michelangelo
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-52680-1
http://cds.cern.ch/record/2747035
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author Iezzi, Domenica
Mayaffre, Damon
Misuraca, Michelangelo
author_facet Iezzi, Domenica
Mayaffre, Damon
Misuraca, Michelangelo
author_sort Iezzi, Domenica
collection CERN
description 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. .
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institution Organización Europea para la Investigación Nuclear
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spelling cern-27470352021-04-22T06:29:41Zdoi:10.1007/978-3-030-52680-1http://cds.cern.ch/record/2747035engIezzi, DomenicaMayaffre, DamonMisuraca, MichelangeloInternational Conference on the Statistical Analysis of Textual DataMathematical Physics and MathematicsFocusing 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. .Springeroai:cds.cern.ch:27470352020
spellingShingle Mathematical Physics and Mathematics
Iezzi, Domenica
Mayaffre, Damon
Misuraca, Michelangelo
International Conference on the Statistical Analysis of Textual Data
title International Conference on the Statistical Analysis of Textual Data
title_full International Conference on the Statistical Analysis of Textual Data
title_fullStr International Conference on the Statistical Analysis of Textual Data
title_full_unstemmed International Conference on the Statistical Analysis of Textual Data
title_short International Conference on the Statistical Analysis of Textual Data
title_sort international conference on the statistical analysis of textual data
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-52680-1
http://cds.cern.ch/record/2747035
work_keys_str_mv AT iezzidomenica internationalconferenceonthestatisticalanalysisoftextualdata
AT mayaffredamon internationalconferenceonthestatisticalanalysisoftextualdata
AT misuracamichelangelo internationalconferenceonthestatisticalanalysisoftextualdata