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  1. Mar 2021
  2. psyarxiv.com psyarxiv.com
    Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives
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    1. sophia.sterckx 15 Mar 2021

      Lindow, Mike, David DeFranza, Arul Mishra, and Himanshu Mishra. ‘Scared into Action: How Partisanship and Fear Are Associated with Reactions to Public Health Directives’. PsyArXiv, 12 January 2021. https://doi.org/10.31234/osf.io/8me7q.

      is:preprint lang:en COVID-19 political ideology tweets natural language processing word embedding gradient boosted decision trees corona coronavirus health directives liberals conservatives politics federal government USA twitter
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    psyarxiv.com/8me7q/
  3. Apr 2017
  4. www.tensorflow.org www.tensorflow.org
    Vector Representations of Words  |  TensorFlow
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    1. akcool123 17 Apr 2017
      Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Section 3.1 and 3.2 in Mikolov et al.).
      Word embedding NLP
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    tensorflow.org/tutorials/word2vec/