112 research outputs found
Textual analysis of a Twitter corpus during the COVID-19 pandemics
[EN] Text data gathered from social media are extremely up-to-date and have a great potential value for economic research. At the same time, they pose some challenges, as they require different statistical methods from the ones used for traditional data. The aim of this paper is to give a critical overview of three of the most common techniques used to extract information from text data: topic modelling, word embedding and sentiment analysis. We apply these methodologies to data collected from Twitter during the COVID-19 pandemic to investigate the influence the pandemic had on the Italian Twitter community and to discover the topics most actively discussed on the platform. Using these techniques of automated textual analysis, we are able to make inferences about the most important subjects covered over time and build real-time daily indicators of the sentiment expressed on this platform.Astuti, V.; Crispino, M.; Langiulli, M.; Marcucci, J. (2022). Textual analysis of a Twitter corpus during the COVID-19 pandemics. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 276-276. http://hdl.handle.net/10251/18975927627
New geochemical and age data on the ophiolites from the Othrys area (Greece): implication for the Triassic evolution of the Vardar Ocean.
Comparison among the Albanian and Greek ophiolites: in search of constraints for the evolution of the Mesozoic Tethys ocean.
New geological observations and biostratigraphic data on the Argolis Peninsula: Paleogeographic and geodynamic implications
The ophiolite-bearing melange in the early Tertiary Pindos flysch in the Etolia (cental Greece)
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