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  1. Jul 2020
  2. osf.io osf.io
    Capturing and analyzing social representations. A first application of Natural Language Processing techniques to reader’s comments in COVID-19 news. Argentina, 2020
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    1. ErikStuchly 15 Jul 2020

      Rosati, G., Domenech, L., Chazarreta, A., & Maguire, T. (2020). Capturing and analyzing social representations. A first application of Natural Language Processing techniques to reader’s comments in COVID-19 news. Argentina, 2020 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/3pcdu

      is:preprint lang:en COVID-19 social representation analysis natural language processing comment news Argentina quantification topic Latent Dirichlet Allocation prototype FastText
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    osf.io/preprints/socarxiv/3pcdu/
  3. May 2020
  4. psyarxiv.com psyarxiv.com
    Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections
    1
    1. edampf 29 May 2020

      Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c

      is:preprint lang:en dynamics latent topic analysis network model text mining time embedding social media troll USA election 2016 right-wing left-wing simulation modeling Russia Twitter research
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    psyarxiv.com/tfs7c/