{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10482118","patent":{"patent_number":"US-10482118","title":"Document representation for machine-learning document classification","assignee":null,"inventors":[],"filing_date":"2017-06-14T00:00:00.000Z","publication_date":"2019-11-19T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06F","G06N"],"num_claims":20,"abstract":"Methods, systems, and computer-readable storage media for providing weighted vector representations of documents, with actions including receiving text data, the text data including a plurality of documents, each document including a plurality of words, processing the text data to provide a plurality of word-vectors, each word-vector being based on a respective word of the plurality of words, determining a plurality of similarity scores based on the plurality of word-vectors, each similarity score representing a degree of similarity between word-vectors, grouping words of the plurality of words into clusters based on the plurality of similarity scores, each cluster including two or more words of the plurality of words, and providing a document representation for each document in the plurality of documents, each document representation including a feature vector, each feature corresponding to a cluster."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Document representation for machine-learning document classification","description":"Methods, systems, and computer-readable storage media for providing weighted vector representations of documents, with actions including receiving text data, the text data including a plurality of doc","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10482118","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10482118","citation_suggestion":"Patentable. \"Document representation for machine-learning document classification\" (US-10482118). https://patentable.app/patents/US-10482118","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10482118","json":"https://patentable.app/api/llm-context/US-10482118","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T16:22:37.650Z"}