- Deals with sample bias and selection bias in social media
- Reconciles official statistics and big data
- Language independent sentiment analysis algorithms
- Open source, R code and data available
- High frequency and social media data
Stefano M. Iacus is full professor of Statistics at the University of Milan, on leave at the Joint Research Centre of the European Commission. Former R-core member (1999-2017) and R Foundation Member.
Giuseppe Porro is full professor of Economic Policy at the University of Insubria.
An earlier version of this project was awarded the Italian Institute of Statistics-Google prize for official statistics and big data .
Title: Subjective Well-Being and Social Media: Reconciling Big Data and Statistics
Author: Iacus, Stefano M.,Porro, Giuseppe
ISBN: 9781138393929
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2021-08-05
Number of Pages: 220
Weight: 0.4801 kg
Besides considering the problem of well-being estimation per se, the book presents a great compendium of methods helpful for students and specialists working on various projects which need getting big data from the net sources for statistical research in social studies.
-Stan Lipovetsky in Technometrics, October 2021
[...] the authors present a detailed introduction to the concept of subjective well-being, citing the work both of psychologists and economists. An account of the methods used to measure subjective well-being, and in particular those relevant to social network data is given, making this work of interest to a wide range of researchers and advanced students, including economists, psychologists, statisticians and data scientists. An exposition of the technical issues involved in text and sentiment analysis, as well as a thorough account of existing techniques and methodologies, provides the necessary background for those new to this area. ... Closely referenced and clearly written, researcher's and advanced students in all related fields, will find this a useful, informative and eminently readable book.
- Dawn Holmes in Journal of the Royal Statistical Society, Series A , June 2022
