Analysis of the Quality of Academic Papers by the Words in Abstracts
The investigation of related research is very important for research activities. However, it is not easy to choose an appropriate and important academic paper from among the huge number of possible papers. The researcher searches by combining keywords and then selects an paper to be checked because it uses an index that can be evaluated. The citation count is commonly used as this index, but information about recently published papers cannot be obtained. This research attempted to identify good papers using only the words included in the abstract. We constructed a classifier by machine learning and evaluated it using cross validation. As a result, it was found that a certain degree of discrimination is possible.
KeywordsBibliometrics Research investigation SVM Citation
This work was partially supported by JSPS KAKENHI Grant Number 24500176.
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