Table 3 Most influential positive and negative classifier features. Features were extracted from five binary Maximum-Entropy classifiers trained on IPC classes with biomedical significance, leaving out stopwords and words with three or less characters. The occurrence of positive/negative feature words makes a document more/less likely to be assigned to the class.

From: Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed