{"id":19787648,"url":"https://github.com/bumble-tech/buzzwords","last_synced_at":"2025-04-30T23:33:47.290Z","repository":{"id":73220850,"uuid":"522882123","full_name":"bumble-tech/buzzwords","owner":"bumble-tech","description":"GPU-Powered Topic Modelling","archived":false,"fork":false,"pushed_at":"2022-12-20T11:00:21.000Z","size":89,"stargazers_count":70,"open_issues_count":0,"forks_count":6,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-06T06:34:25.224Z","etag":null,"topics":["bert","bumble","buzzwords","clustering","gpu","topic-modelling"],"latest_commit_sha":null,"homepage":"https://bumble-tech.github.io/buzzwords/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bumble-tech.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-08-09T09:22:05.000Z","updated_at":"2025-01-16T05:48:17.000Z","dependencies_parsed_at":"2023-09-19T10:46:41.119Z","dependency_job_id":null,"html_url":"https://github.com/bumble-tech/buzzwords","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bumble-tech%2Fbuzzwords","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bumble-tech%2Fbuzzwords/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bumble-tech%2Fbuzzwords/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bumble-tech%2Fbuzzwords/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bumble-tech","download_url":"https://codeload.github.com/bumble-tech/buzzwords/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251800761,"owners_count":21645964,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bert","bumble","buzzwords","clustering","gpu","topic-modelling"],"created_at":"2024-11-12T06:24:04.152Z","updated_at":"2025-04-30T23:33:47.285Z","avatar_url":"https://github.com/bumble-tech.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Buzzwords\n\nBuzzwords is Bumble's GPU-powered topic modelling tool, used for gathering insights on topics in text or images on a large scale. The algorithm is based on [Bertopic](https://maartengr.github.io/BERTopic/index.html) and [Top2Vec](https://arxiv.org/abs/2008.09470), but altered to be faster.\n\nFor more information see [the website](https://bumble-tech.github.io/buzzwords/)\n\n## Installation\n\nInstallation for buzzwords is somewhat complicated, due to the need for RAPIDS.ai (and to a lesser extent, FAISS) on an Nvidia GPU-powered machine. RAPIDS doesn't support installation through pip anymore, so we need to use conda environments.\n\nFor ease of installation, we've packaged it up into a bash script `install.sh`\n\n```bash\n$ ./install.sh buzzwords\n```\n\nThis will create the conda environment (with either your given name or `buzzwords` as default) with Buzzwords installed in it\n\n## Basic Examples\n\nTo instantiate the model is very simple\n\n```python\nfrom buzzwords import Buzzwords\n \nmodel = Buzzwords()\n```\n\nTo train the model on a set of documents, call the fit_transform() function to return the topics\n\n```python\ndocs = df['text_column']\n \ntopics = model.fit_transform(docs)\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbumble-tech%2Fbuzzwords","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbumble-tech%2Fbuzzwords","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbumble-tech%2Fbuzzwords/lists"}