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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,
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Diederichs 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 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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