Abstract
AbstractSOM-based visualization is a promising approach for revealing potential technical solutions varied in patent documents. In this paper, we try to improve the quality of visual representation by constructing Fuzzy Bag-of-Words (FBoW) matrices through utilization of multi-view information. F-term is the special theme code given by the examiners of Japan Patent Office (JPO) for Japanese patent documents and is expected to be a potential candidate of second-view information. Document \(\times \) F-term co-occurrence information is utilized for improving the quality of FBoW representation such that semantical similarities among words are measured by considering F-term semantics. The advantage of utilizing F-term semantics in constructing FBoW is demonstrated through analysis of patent document data.KeywordsPatent documentsTechnical solutionFuzzy Bag-of-WordsMulti-view information
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