Deep Learning-Based Approach to Predict Research Trend in Computer Science Domain
摘要
Every day, thousands of research papers are produced, and amongst all of these research works, computer science is most continually evolving. Thus, a large number of academics, research institutions, and funding bodies benefit from knowing which research fields are popular in this specific field of study. In this regard, we have produce a deep learning-based framework to estimate the future paths of computer science research by forecasting the number of articles that will be published. The recommended strategy shows the best prediction results in contemporary to the baseline approaches with 1483.23 RMSE and 0.9854 R-Square values.