Identifying Trends in Data Science Articles using Text Mining

Syed Hasan Adil, Mansoor Ebrahim, S. Ali, Kamran Raza
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引用次数: 1

Abstract

The research conducted in this paper presents a detailed analysis of the latest research publications related to Data Science using information retrieval and text mining approach. The database used in this study was created by collecting the latest research papers from well-reputed Journals and Conference proceedings published by IEEE and Springer. This comprehensive study shows the significance of information retrieval and text mining in the identification of key insight from textual documents.
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使用文本挖掘识别数据科学文章的趋势
本文采用信息检索和文本挖掘的方法对数据科学相关的最新研究成果进行了详细的分析。本研究中使用的数据库是通过收集IEEE和Springer出版的知名期刊和会议论文集中的最新研究论文而创建的。这一综合研究显示了信息检索和文本挖掘在从文本文档中识别关键洞察力方面的重要性。
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