Abstract
Text analytics is a large umbrella under which it is possible to report countless techniques, models, methods for automatic and quantitative analysis of textual data. Its development can be traced back the introduction of the computer, but the prodromes date back, the importance of text analysis has grown over time and has been greatly enriched with the spread of the Internet and social media, which constitute an important flow of information also in support of official statistics. This paper aims to describe, through a timeline the past, the present and the possible future scenario of text analysis. Moreover, the main macro-steps for a practical study are illustrated.
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Notes
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- 2.
Stephens-Davidowitz, in an article published in the New York Times (April 5, 2020), suggested that this methodology could be adopted to search for places where dissemination has escaped the reporting of official data as in the case of the state of Ecuador.
- 3.
See the website: https://unstats.un.org/bigdata/.
- 4.
See the website https://www.istat.it/it/archivio/219585.
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Iezzi, D.F., Celardo, L. (2020). Text Analytics: Present, Past and Future. In: Iezzi, D.F., Mayaffre, D., Misuraca, M. (eds) Text Analytics. JADT 2018. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-030-52680-1_1
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