ClinicalMetaScience
/

NegativeResultDetector

Text Classification

Inference Endpoints

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ClinicalMetaScience commited on Mar 14, 2024

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 ## Model
 SciBERT text classification model for positive and negative results prediction in scientific abstracts of clinical psychology and psychotherapy.
 The preprint "Classifying Positive Results in Clinical Psychology Using Natural Language Processing" by Louis Schiekiera, Helen Niemeyer & Jonathan
-Diederichs is available on [PsyArxiv](https://osf.io/preprints/psyarxiv/uxyzh){:target="_blank"}.
 ## Data
 We annotated over 1,900 clinical psychology abstracts into two categories: 'positive results only' and 'mixed or negative results', and trained models using SciBERT.

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