{"ID":54890,"CreatedAt":"2026-02-27T13:00:40Z","UpdatedAt":"2026-02-27T13:00:40Z","DeletedAt":null,"paper_url":"https://paperswithcode.com/paper/inverse-category-frequency-based-supervised","arxiv_id":"1012.2609","title":"Inverse-Category-Frequency based supervised term weighting scheme for text categorization","abstract":"Term weighting schemes often dominate the performance of many classifiers,\nsuch as kNN, centroid-based classifier and SVMs. The widely used term weighting\nscheme in text categorization, i.e., tf.idf, is originated from information\nretrieval (IR) field. The intuition behind idf for text categorization seems\nless reasonable than IR. In this paper, we introduce inverse category frequency\n(icf) into term weighting scheme and propose two novel approaches, i.e., tf.icf\nand icf-based supervised term weighting schemes. The tf.icf adopts icf to\nsubstitute idf factor and favors terms occurring in fewer categories, rather\nthan fewer documents. And the icf-based approach combines icf and relevance\nfrequency (rf) to weight terms in a supervised way. Our cross-classifier and\ncross-corpus experiments have shown that our proposed approaches are superior\nor comparable to six supervised term weighting schemes and three traditional\nschemes in terms of macro-F1 and micro-F1.","short_abstract":"Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.","url_abs":"http://arxiv.org/abs/1012.2609v4","url_pdf":"http://arxiv.org/pdf/1012.2609v4.pdf","authors":"[\"Deqing Wang\", \"HUI ZHANG\"]","published":"2010-12-13T00:00:00Z","tasks":"[\"Cross-corpus\", \"Information Retrieval\", \"Multi-class Classification\", \"Retrieval\", \"Text Categorization\"]","methods":"[]","has_code":false,"code_links":[{"ID":31443,"CreatedAt":"2026-02-27T13:01:31Z","UpdatedAt":"2026-02-27T13:01:31Z","DeletedAt":null,"paper_id":54890,"paper_url":"https://paperswithcode.com/paper/inverse-category-frequency-based-supervised","paper_title":"Inverse-Category-Frequency based supervised term weighting scheme for text categorization","repo_url":"https://github.com/textvec/textvec","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"framework":"tf","github_stars":0},{"ID":237433,"CreatedAt":"2026-02-27T13:01:31Z","UpdatedAt":"2026-02-27T13:01:31Z","DeletedAt":null,"paper_id":54890,"paper_url":"https://paperswithcode.com/paper/inverse-category-frequency-based-supervised","paper_title":"Inverse-Category-Frequency based supervised term weighting scheme for text categorization","repo_url":"https://github.com/zveryansky/textvec","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"framework":"tf","github_stars":0},{"ID":331604,"CreatedAt":"2026-03-04T21:00:12Z","UpdatedAt":"2026-03-04T21:00:12Z","DeletedAt":null,"paper_id":54890,"paper_url":"https://paperswithcode.com/paper/inverse-category-frequency-based-supervised","paper_title":"Inverse-Category-Frequency based supervised term weighting scheme for text categorization","repo_url":"https://github.com/textvec/textvec","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"framework":"tf","github_stars":0},{"ID":537594,"CreatedAt":"2026-03-04T21:00:12Z","UpdatedAt":"2026-03-04T21:00:12Z","DeletedAt":null,"paper_id":54890,"paper_url":"https://paperswithcode.com/paper/inverse-category-frequency-based-supervised","paper_title":"Inverse-Category-Frequency based supervised term weighting scheme for text categorization","repo_url":"https://github.com/zveryansky/textvec","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"framework":"tf","github_stars":0}]}