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Text Analytics: Advances and Challenges. 1st ed. 2020
・ISBN 978-3-030-52679-5 paper EUR 159.99
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| 著者・編者 | Iezzi, Domenica Fioredistella / Mayaffre, Damon / Misuraca, Michelangelo (eds.), |
|---|---|
| シリーズ | (Studies in Classification, Data Analysis, and Knowledge Organization) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 302 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-54570＞ |
解説
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.