Detecting dynamics of action in text with a recurrent neural network

  title={Detecting dynamics of action in text with a recurrent neural network},
  author={N. Gruber},
  journal={Neural Comput. Appl.},
  • N. Gruber
  • Published 15 June 2021
  • Computer Science
  • Neural Comput. Appl.
According to the dynamics of action (DoA)-theory, action is an interplay of instigating and consummatory forces over time. The TAT/PSE—a psychological test instrument—should measure this dynamics. Therefore, people get presented different pictures with the instruction to invent stories. In those stories, the periodical tendencies should be visible, but this could not be shown yet. I reanalyzed two datasets regarding category IS: They were coded by a human expert, a recurrent neural network (RNN… 
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