文章基本信息

标题：Measuring the Significance of Writing Style for Recommending Where to Publish – A Case Study
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作者：Oscar Karnalim ; Aulia Zahrina Qashri
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2019
卷号：19
期号：3
页码：3-15
DOI：10.2478/cait-2019-0022
出版社：Bulgarian Academy of Science
摘要：Writing style plays a role in publication venue recommendation. However, such finding should be observed further; it is concluded from an arbitrary dataset which contains various topics and writing quality. This paper aims to observe that style's impact in a more controlled environment. A dataset with the same specific topic and writing quality was used and analysed. In our case, the dataset is comprised of papers published on reputable software engineering publication venues with natural language generation as the specific topic. According to our observation, writing style only affects significantly on paper title wherein the impact is proportional to n in n-gram. Moreover, the style’s impact becomes more salient when the venues are grouped per publisher or only a specific publication type is considered.
关键词：Recommender system; writing style; publication venues; N-gram; language model