Efficient Utilization of text Mining for Information Extraction from Research Articles

  • J. M. Dhayashankar

Abstract

These days, research in text mining has become one of the inescapable fields in breaking down regular language records. The current review exhibits a far reaching outline about text mining and its flow research status. As shown in the writing, there is a constraint in tending to Information Extraction from research articles utilizing Data Mining methods. The collaboration between them assists with finding distinctive intriguing text designs in the recovered articles. In our review, we gathered, and literarily broke down through different text mining procedures, 300 refereed diary articles in the field of portable gaining from six scientific information bases, to be specific: Springer, Wiley, Science Direct, SAGE, IEEE, and Cambridge. The choice of the gathered articles depended on the rules that this load of articles should fuse versatile learning as the principle part in the higher instructive setting. Exploratory outcomes demonstrated that Springer information base addresses the principle hotspot for research articles in the field of portable schooling for the clinical space. Additionally, results where the likeness among themes couldn't be recognized were because of either their interrelations or uncertainty in their importance. Besides, findings showed that there was a flourishing expansion in the quantity of distributed articles during the years 2015 through 2016. Likewise, other implica-tions and future points of view are introduced in the review.

Published
2021-11-18
How to Cite
J. M. Dhayashankar. (2021). Efficient Utilization of text Mining for Information Extraction from Research Articles. Design Engineering, 12856 - 12876. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6407
Section
Articles