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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