{"data":{"slug":"milanlproc-contextualized-topic-models","name":"contextualized-topic-models","tagline":"A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).","github_url":"https://github.com/MilaNLProc/contextualized-topic-models","owner":"MilaNLProc","repo":"contextualized-topic-models","owner_avatar_url":"https://avatars.githubusercontent.com/u/61321459?v=4","primary_language":"Python","stars":1272,"forks":154,"topics":["bert","embeddings","multilingual-models","multilingual-topic-models","neural-topic-models","nlp","nlp-library","nlp-machine-learning","text-as-data","topic-coherence","topic-modeling","transformer"],"archived":false,"github_pushed_at":"2025-07-24T02:03:31+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/milanlproc-contextualized-topic-models","markdown_url":"https://www.graphcanon.com/tools/milanlproc-contextualized-topic-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milanlproc-contextualized-topic-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milanlproc-contextualized-topic-models","description":"A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.). ","homepage_url":null,"license":"MIT","open_issues":11,"watchers":13,"ai_summary":null,"readme_excerpt":null,"github_created_at":"2020-04-04T19:11:29+00:00","created_at":"2026-07-11T11:31:04.606879+00:00","updated_at":"2026-07-11T11:31:07.341704+00:00","categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"nlp-library","name":"nlp-library"},{"slug":"bert","name":"bert"},{"slug":"embeddings","name":"embeddings"},{"slug":"multilingual-models","name":"multilingual-models"},{"slug":"nlp","name":"nlp"},{"slug":"neural-topic-models","name":"neural-topic-models"},{"slug":"nlp-machine-learning","name":"nlp-machine-learning"},{"slug":"multilingual-topic-models","name":"multilingual-topic-models"}],"trust":{"provenance":{"is_fork":false,"github_id":253079431,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T11:31:05.530Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":null,"days_since_push":352,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:31:06.250Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T11:31:05.910Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T11:31:05.910Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T11:31:05.910Z"}}}}