Text Analytics: Advances and Challenges [Paperback]

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. PART - 1 :Techniques, Methods and Models.- Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo).- Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano).- Chapter 3 - Studying narrative flows by Text Analysis e Network Text Analysis (Cristiano Felaco).- Chapter 4 - Key passages : from statistics to deep learning (Laurent Vanni, Marco Corneli, Dominique Longree, Damon Maya