Text Analytics

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 re and Frederic Precioso).- Chapter 5 - Concentration indices for dialogue dominance phenomena in TV series: the case of the Big Bang Theory (Andrea Fronzetti Colladon and Maurizio Naldi).-Chapter 6 - A conversation analysis of interactions in personal finance forums (Maurizio Naldi).- PART - 2 :Dictionaries and specific languages.- Chapter 7 - Big Corpora and Text Clustering: the Italian accounting jurisdiction case (Domenica Fioredistella Iezzi, Rosamaria Berté).- Chapter 8 - Lexicometric paradoxes of frequency: Comparing VoBIS and NVdB  (Luisa Revelli).- Chapter 9 - Emotions and dense words in emotional text analysis: An invariant or a contextual relationship? (Nadia Battisti, Francesca Dolcetti).-Chapter 10 - Text Mining of Public Administration documents: preliminary results on judgements (Romano Maria Francesca, Baldassarini Antonella, Pavone Pasquale).- Chapter 11 - Using the First Axis of a Correspondence Analysis as an Analytic Tool (Bénédicte Pincemin, Alexei Lavrentiev and Céline Guillot-Barbance).- Chapter 12 - Discursive Functions of French Modal Forms: What can Correspondence Analysis tell us about Genre and Diachronic Variation? (Corinne Rossari, Ljiljana Dolamic, Annalena Hütsch, Claudia Ricci, Dennis Wandel).- PART - 3 :Multilingual Text Analysis.- Chapter 13 - How to think about finding a sign for a multilingual and multimodal French written / French sign language platform? (Cédric Moreau).- Chapter 14 - Corpus in "natural" language vs "translation"

Domenica Fioredistella Iezzi is an Associate Professor of Social Statistics at the Department of Enterprise Engineering Mario Lucertini, Tor Vergata University of Rome, Italy. She teaches courses on exploratory methods for data analysis and social media analytics. She is qualified as a Full Professor of Demography and Social Statistics and has been the director of the Master's program in Data Science since 2014. A past advisor to the Italian Society of Demography and Statistics and the Italian Statistical Society, she has authored numerous scientific articles in national and international journals. Her main research topics include text clustering and social indicators.

Damon Mayaffre is a CNRS researcher and a Professor at the Nice Côte d'Azur University, France. He is a specialist in the statistical analysis of textual data and has published several books on the political discourse of French presidents.

Michelangelo Misuraca is an Associate Professor of Statistics for Social Sciences at the Department of Business Administration and Law, University of Calabria, Italy. He has taught courses on textual statistics and statistics for the social sciences at the University of Naples Federico II and the University of Calabria. A Fellow of the Italian Statistical Society and of the Royal Statistical Society, his research interests are mainly in the areas of textual statistics, text mining and social media mining.

"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)