Python vs. R: a text mining approach for analyzing the research trends in scopus database

被引：0

作者：

Bhanot, Neeraj ^{[1
]}

Singh, Harwinder ^{[2
]}

Sharma, Divyansu ^{[3
]}

Jain, Harshit ^{[4
]}

Jain, Shreyansh ^{[4
]}

机构：

[1] Quantitative Methods and Operations Management, Indian Institute of Management Amritsar, Amritsar,143105, India

[2] Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana,141006, India

[3] Department of Mechanical Engineering, Dr. B R Ambedkar National Institute of Technology Jalandhar, Jalandhar,144011, India

[4] Department of Industrial and Production Engineering, Dr. B R Ambedkar National Institute of Technology Jalandhar, Jalandhar,144011, India

来源：

arXiv | 2019年

关键词：

Engineering Village;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

'current - - text mining - International journals - Literature analysis - Production research - Python and R - Research data - Research trends - Scopus database - Text-mining

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