Trend Analysis and Prediction in Scholarly Documents


With increasing volume of scientific documents added existing archives every day, it is difficult yet crucial to track the emergence of the research topics and its impact. This project aims to address some of the issues of analysis of big scholarly corpus and other contemporary signals to generate useful insights [download id=”292″][download id=”311″].


Meeting Minutes

  • 05, Jan, 2018: [download id=”292″]
  • 19, Jan, 2018: [download id=”295″]
  • 26, Jan, 2018: [download id=”298″]
  • 09, Feb, 2018: [download id=”301″]
  • 09, Feb, 2018: [download id=”304″]
  • 23, Mar, 2018: [download id=”306″]
  • 25, May, 2018: [download id=”290″]