使用明确的查询和主题模型进行科学文章推
Boussaadi Smail1, Hassina Aliane2, Ouahabi Abdeldjalil3
1DTISI, Research Center on Scientific and Technical Information Cerist, Algiers, Algeria.
Education and information technologies
|June 26, 2023
概括
研究人员可以更轻松地找到相关的科学文章,使用新的基于内容的过方法. 这种方法使用语义探索和主题建模来通过提供客观和相关的结果来提高研究生产力.
科学领域:
- 信息科学 信息科学 信息科学
- 计算机科学 计算机科学
- 图书统计学 图书统计学
背景情况:
- 越来越多的科学文献给寻找相关文章的研究人员带来了挑战.
- 在数字数据库中使用传统的搜索方法可能会耗时并阻碍生产力.
- 需要先进的方法来有效地识别跨领域的相关研究.
研究的目的:
- 提出一种使用基于内容的过方法推科学文章的新方法.
- 为了应对识别相关研究的挑战,无论研究人员的领域.
- 开发一个最佳的主题模型,以加强科学文章推过程.
主要方法:
- 使用基于内容的过技术进行文章推.
- 使用隐藏因素的语义探索来理解文章内容.
- 开发和优化一个主题模型,以支持推系统.
主要成果:
- 提出的方法证明了有效的科学文章推.
- 该系统提供相关和客观的结果,满足研究人员的需求.
- 绩效预期通过实证经验得到证实.
结论:
- 新的推方法提高了相关科学文章的发现.
- 语义探索和主题建模对于跨领域的研究是有效的.
- 这种方法有可能显著提高研究人员的生产力.
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