On the other hand, in S-VSM, 400 thousand words contribute to the performance of information retrieval through 2,710 Semantic Attributes. The meanings of most of the words used in documents, regardless of whether they are synonyms or not, reflect specific vectors and the recall performance is expected to improve compared to conventional methods.