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Text Analytics

Text Analytics
  • Author: Domenica Fioredistella Iezzi
  • Publisher: Springer
  • ISBN: 3030526798
  • Page: 302
  • View: 105

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 ...

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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Text Analytics
Language: en
Pages: 302
Authors: Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca
Categories: Social Science
Type: BOOK - Published: 2020-11-25 - Publisher: Springer

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
Practical Text Analytics
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This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content
Text Analytics with Python
Language: en
Pages: 385
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Categories: Computers
Type: BOOK - Published: 2016-11-30 - Publisher: Apress

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related
Text Analytics
Language: en
Pages: 302
Authors: Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca
Categories: Social Science
Type: BOOK - Published: 2020-11-24 - Publisher: Springer Nature

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
Text Analytics with Python
Language: en
Pages: 107
Authors: Anthony S. Williams
Categories: Computers
Type: BOOK - Published: 2020-07-13 - Publisher: Anthony S. Williams

Text Analytics with Python Text analytics is all about obtaining relevant and useful information from some unstructured data. Text analytics techniques can be of great importance and can provide amazing help for various organizations that aim to derive some potentially valuable business insights from an amazingly large collection of text-based