Text Analytics : Advances and Challenges
1st ed. 2020
Book Details
Format
Paperback / Softback
ISBN-10
3030526798
ISBN-13
9783030526795
Edition
1st ed. 2020
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 25th, 2020
Print length
302 Pages
Product Classification:
Computational and corpus linguisticsComputational linguisticsInterdisciplinary studiesSocial research & statisticsSocial research and statisticsEconomics, finance, business & managementEconomics, Finance, Business and ManagementProbability & statisticsProbability and statisticsDigital and Information technology: general topicsInformation technology: general issuesData miningExpert systems / knowledge-based systems
Ksh 25,200.00
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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.
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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