文章基本信息

标题：Towards Identifying Author Confidence in Biomedical Articles
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作者：Mihaela Onofrei Plămadă , Diana Trandabăț ; Daniela Gîfu
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2019
卷号：4
期号：1
页码：18-28
DOI：10.3390/data4010018
出版社：MDPI Publishing
摘要：In an era where the volume of medical literature is increasing daily, researchers in the biomedical and clinical areas have joined efforts with language engineers to analyze the large amount of biomedical and molecular biology literature (such as PubMed), patient data, or health records. With such a huge amount of reports, evaluating their impact has long stopped being a trivial task. In this context, this paper intended to introduce a non-scientific factor that represents an important element in gaining acceptance of claims. We postulated that the confidence that an author has in expressing their work plays an important role in shaping the first impression that influences the reader’s perception of the paper. The results discussed in this paper were based on a series of experiments that were ran using data from the open archives initiative (OAI) corpus, which provides interoperability standards to facilitate effective dissemination of the content. This method may be useful to the direct beneficiaries (i.e., authors, who are engaged in medical or academic research), but also, to the researchers in the fields of biomedical text mining (BioNLP) and NLP, etc.
关键词：biomedical libraries; author’s confidence; writing styles; text analysis biomedical libraries ; author’s confidence ; writing styles ; text analysis