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Detecting dynamics of action in text with a recurrent neural network
Gruber, Nicole
(2021)
Detecting dynamics of action in text with a recurrent neural network.
Neural Computing and Applications 33 (22), pp. 15709-15718.
Date of publication of this fulltext: 08 Jul 2022 08:21
Article
DOI to cite this document: 10.5283/epub.52580
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| Item type | Article | ||||
| Journal or Publication Title | Neural Computing and Applications | ||||
| Publisher: | SPRINGER LONDON LTD | ||||
|---|---|---|---|---|---|
| Open Access Type: | DEAL (Springer Opt Out) | ||||
| Place of Publication: | LONDON | ||||
| Volume: | 33 | ||||
| Number of Issue or Book Chapter: | 22 | ||||
| Page Range: | pp. 15709-15718 | ||||
| Date | 15 June 2021 | ||||
| Institutions | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) | ||||
| Identification Number |
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| Keywords | PERSONALITY; QUALITY; SYSTEM; Dynamics of action; Thematic apperception test; Recurrent neural network; Text mining | ||||
| Dewey Decimal Classification | 100 Philosophy & psychology > 150 Psychology 400 Language > 400 Language, Linguistics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 52580 |
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