Present study conducted a Natural Language Processing(NLP) and selected the hot research issues identified by Sci2 as validity criterion to explore the forecast validity of research frontier identified by titles, abstracts, keywords and full text of academic papers. Findings of this research include: firstly, no matter which unit involved into the analysis Processing, the forecasting of research frontiers do existed validity risks. Secondly, full texts, as the analysis corpus, has highest validity comparing to titles, abstracts and keywords which affected by the total amount of the selected papers. Thirdly, if single indexes were taken as the standard to identify the hot research issues, the explored research frontier predicted via different unit of academic papers are various. The findings of present study provide a valuable reference to those researches which focusing on the exploration of research frontier among scientometrics related researches.