#7832. Using a neural network-based feature extraction method to facilitate citation screening for systematic reviews

April 2026publication date
Proposal available till 01-06-2025
4 total number of authors per manuscript5500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Engineering (all);
Computer Science Applications;
Artificial Intelligence;
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Abstract:
Citation screening is a labour-intensive part of the process of a systematic literature review that identifies citations eligible for inclusion in the review. In this paper, we present an automatic text classification approach that aims to prioritise eligible citations earlier than ineligible ones and thus reduces the manual labelling effort that is involved in the screening process. e.g. by automatically excluding lower ranked citations. To improve the performance of the text classifier, we develop a novel neural network-based feature extraction method.
Keywords:
Citation screening; Neural feature extraction; Text mining

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