Text Analytics
Advances and Challenges
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Beschreibung
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.
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.
Presents the latest developments in the statistical analysis of textual data, text mining and text analytics Provides both new methodologies and applications in various disciplines, including sociology, politics, psychology and marketing Brings together experts from statistics, computer science, linguistics and the social sciences
Autor*in
Domenica Fioredistella Iezzi
Themen in »Text Analytics«
textual data analysis text mining statistical analysis of textual data text analytics sentiment analysis information extraction opinion mining social media analysis lexical resources web mining corpus and quantitative linguistics chronological corpora network text analytics textual data in psychology text mining in the social sciences
Stimmen zu »Text Analytics«
“Readership: Graduate and advanced undergraduate statistics students, as well as practitioners. …Text Analytics: Advances and Challenges is an interesting read. … For students of text analysis and practitioners who are interested in applying text analysis methods to real problems, this text will be of interest.” (Jordan Rodu, International Statistical Review, June 2, 2021)
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