ClinicalMetaScience
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NegativeResultDetector

Text Classification

text-embeddings-inference

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ClinicalMetaScience commited on Apr 23, 2025

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 ## Model
 SciBERT text classification model for positive and negative results prediction in scientific abstracts of clinical psychology and psychotherapy.
 The corresponding paper "Classifying Positive Results in Clinical Psychology Using Natural Language Processing" by Louis Schiekiera, Jonathan
-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).
 ## 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 corresponding paper "Classifying Positive Results in Clinical Psychology Using Natural Language Processing" by Louis Schiekiera, Jonathan
+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).
 ## 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.