Technical Trend Analysis by Analyzing Research Papers’ Titles
The history of the elemental technologies (underlying technologies) used in a particular research field is essential for analyzing technical trend in the field. However, it is too costly and time-consuming to collect and read all of the papers in the field for the purpose of this analysis. Therefore, we have constructed a system that can recognize the application of elemental technologies to any research field. We focus on the structure of research papers’ titles for the extraction of elemental technologies. In research papers’ titles, particular expressions, such as "using" or "is based on", are often used. The terms immediately after these expressions are considered elemental technologies. Therefore, we used these expressions as cue phrases, and extracted elemental technologies from both English and Japanese titles. We conducted experiments to investigate the effectiveness of our method for analyzing the structure of titles. We obtained Recall and Precision scores of 0.825 and 0.816, respectively, for the analysis of Japanese titles, and scores of 0.735 and 0.780, respectively, for English titles. Finally, we constructed a system that creates a technical trend map for a given research field.
Keywordstechnical trend analysis information extraction machine translation machine learning
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