%0 Journal Article
%T 科技文献智能分析&#65306;AI助力的科研新范式<br>Intelligent Analysis of Scientific Literature: A Novel AI Driven Research Framework
%A 黄晓晔
%A 吴琰
%J Computer Science and Application
%P 222-235
%@ 2161-881X
%D 2024
%I Hans Publishing
%R 10.12677/csa.2024.1412257
%X 本文提出了一种新的科研新范式&#65292;科技文献智能分析。通过对比传统文献分析方法&#65292;强调了科技文献智能分析在提升研究效率和深度方面的显著优势。文章详细阐述了科技文献智能分析的概念及其在科研方面的巨大作用&#65292;并展望了自然语言处理、机器学习等技术在实现科技文献智能分析方面的理论依据&#65292;设计了概念验证系统&#65292;并对部分核心功能&#65292;利用一些随机论文数据进行了测试与分析。科技文献智能分析有望成为科研人员们不可或缺的研究工具&#65292;推动科学研究迈向新的高度。<br>This paper introduces a novel research framework, &#8220;Intelligent Analysis of Scientific Literature&#8221;, for bibliometric analysis. By comparing it with traditional bibliometric analysis methods, the paper highlights the significant advantages of Intelligent Analysis of Scientific Literature in improving research efficiency and depth. The concept of Intelligent Analysis of Scientific Literature and its profound impact on scientific research are elaborated. The theoretical foundation, including natural language processing and machine learning, for realizing Intelligent Analysis of Scientific Literature is outlined. A proof-of-concept system is designed, and some core functions are tested with some random journal paper data, with results demonstrated and analyzed. &#8220;Intelligent Analysis of Scientific Literature&#8221; is expected to become an indispensable research tool for researchers, propelling scientific research to new heights.
%K 科技文献智能分析&#65292
%K 文献分析&#65292
%K 自然语言处理&#65292
%K 机器学习&#65292
%K 研究范式<br>Intelligent Analysis of Scientific Literature
%K Bibliometric Analysis
%K Natural Language Processing
%K Machine Learning
%K Research Framework
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=103693