Research Trend Analysis of Artificial Intelligence
Ayesha Muarraf, Haseeb Ahmad, Waqar Ahmad, C. M. Nadeem Faisal, Mudassar Ahmad · 2020
Trends analysis of bibliographic libraries in the context of text mining has gained popularity during the recent era. Many fields have been explored to find the trends of research during different periods. The purpose of this study is to provide the essential key phrases in the field of Artificial Intelligence over a selected time spans to show the evolution of researchers' interest in this specific area of computer science over a time period. More precisely, for analyzing the trends of the esteemed field, Artificial Intelligence, we scrapped the metadata of research articles published by IEEE between 2010 and 2019 through IEEE Xplore API and created a corpus. The preprocessing is performed, and after that, a phrase mining technique is applied to this data to extract quality key phrases for research trend analysis of different time spans. The results are visualized for readers' better understanding. Also, the similarity between our extracted phrases and author given keywords was calculated by us.