{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12008321","patent":{"patent_number":"US-12008321","title":"Natural language processing techniques for sequential topic modeling","assignee":null,"inventors":[],"filing_date":"2020-11-23T00:00:00.000Z","publication_date":"2024-06-11T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"There is a need for more effective and efficient predictive natural language topic detection. This need can be addressed by, for example, solutions for performing sequential topic detection. In one example, a method includes determining a sequential topic distribution data object for the current document sequence, determining a current term-context correlation data object for the current document sequence, determining a current context-topic correlation data object for the current document sequence, determining an updated term-topic correlation data object based at least in part on the current context-topic correlation data object, determining topic modeling predictions based at least in part on the sequential topic distribution data object and the updated term-topic correlation data object, and performing prediction-based actions based at least in part on the topic modeling predictions."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Natural language processing techniques for sequential topic modeling","description":"There is a need for more effective and efficient predictive natural language topic detection. This need can be addressed by, for example, solutions for performing sequential topic detection. In one ex","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12008321","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-12008321","citation_suggestion":"Patentable. \"Natural language processing techniques for sequential topic modeling\" (US-12008321). https://patentable.app/patents/US-12008321","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12008321","json":"https://patentable.app/api/llm-context/US-12008321","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:37:04.263Z"}