LRV: A Tool for Academic Text Visualization to Support the Literature Review Process

• 作者: Maha Al-yahya Tahani Almutairi
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 文学
• 关键词: TEXT VISUALIZATION information extraction TEXT mining LITERATURE review
• 年，卷（期）: 2019,（6）
• 页码范围: 741-751
• 页数: 11页
• 分类号: H31

摘要

Text visualization is concerned with the representation of text in a graphicalform to facilitate comprehension of large textual data. Its aim is to improve the ability tounderstand and utilize the wealth of text-based information available. An essential task inany scientific research is the study and review of previous works in the specified domain,a process that is referred to as the literature survey process. This process involves theidentification of prior work and evaluating its relevance to the research question. With theenormous number of published studies available online in digital form, this becomes acumbersome task for the researcher. This paper presents the design and implementationof a tool that aims to facilitate this process by identifying relevant work and suggestingclusters of articles by conceptual modeling, thus providing different options that enablethe researcher to visualize a large number of articles in a graphical easy-to-analyze form.The tool helps the researcher in analyzing and synthesizing the literature and building aconceptual understanding of the designated research area. The evaluation of the toolshows that researchers have found it useful and that it supported the process of relevantwork analysis given a specific research question, and 70% of the evaluators of the toolfound it very useful.