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  ## Model
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  SciBERT text classification model for positive and negative results prediction in scientific abstracts of clinical psychology and psychotherapy.
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- The preprint "Classifying Positive Results in Clinical Psychology Using Natural Language Processing" by Louis Schiekiera, Jonathan
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- Diederichs & Helen Niemeyer is available on [PsyArxiv](https://osf.io/preprints/psyarxiv/uxyzh).
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  ## Data
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  We annotated over 1,900 clinical psychology abstracts into two categories: 'positive results only' and 'mixed or negative results', and trained models using SciBERT.
 
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  ## Model
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  SciBERT text classification model for positive and negative results prediction in scientific abstracts of clinical psychology and psychotherapy.
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+ The corresponding paper "Classifying Positive Results in Clinical Psychology Using Natural Language Processing" by Louis Schiekiera, Jonathan
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+ Diederichs & Helen Niemeyer was published in the special issue *Natural Language Processing in Psychology" in [ZfP](https://econtent.hogrefe.com/doi/10.1027/2151-2604/a000563).
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  ## Data
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  We annotated over 1,900 clinical psychology abstracts into two categories: 'positive results only' and 'mixed or negative results', and trained models using SciBERT.