Identification of Research Patterns and Trends through Text Mining
Trends throughText Mining · International Journal of Information and Education Technology · 2012
Identification of meaningful patterns and trends in large volumes of text data is an important task in various fields.In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011.We applied a low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of the keywords frequently appeared in the paper.