Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Text Mining and Visualization of Papers Reviews Using R Language

  • Li, Jiapei (Department of Library Information Consulting, Hebei Geology University) ;
  • Shin, Seong Yoon (School of Computer Information & Communication Engineering, Kunsan National University) ;
  • Lee, Hyun Chang (Department of Digital Contents Engineering, Wonkwang University)
  • Received : 2017.08.07
  • Accepted : 2017.09.20
  • Published : 2017.09.30
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Abstract

Nowadays, people share and discuss scientific papers on social media such as the Web 2.0, big data, online forums, blogs, Twitter, Facebook and scholar community, etc. In addition to a variety of metrics such as numbers of citation, download, recommendation, etc., paper review text is also one of the effective resources for the study of scientific impact. The social media tools improve the research process: recording a series online scholarly behaviors. This paper aims to research the huge amount of paper reviews which have generated in the social media platforms to explore the implicit information about research papers. We implemented and shown the result of text mining on review texts using R language. And we found that Zika virus was the research hotspot and association research methods were widely used in 2016. We also mined the news review about one paper and derived the public opinion.

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References

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