{"id":24311616,"url":"https://github.com/averms/transformers_for_sentiment_analysis","last_synced_at":"2026-04-21T14:34:49.321Z","repository":{"id":272343875,"uuid":"916275824","full_name":"averms/transformers_for_sentiment_analysis","owner":"averms","description":"Using Encoder-Only Transformers for Sentiment Analysis","archived":false,"fork":false,"pushed_at":"2025-01-13T19:38:43.000Z","size":219,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"trunk","last_synced_at":"2025-01-13T20:34:45.783Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/averms.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-13T19:34:00.000Z","updated_at":"2025-01-13T19:49:59.000Z","dependencies_parsed_at":"2025-01-13T20:34:59.343Z","dependency_job_id":"4f8a7bde-4c6e-47d1-9714-d738ada7196d","html_url":"https://github.com/averms/transformers_for_sentiment_analysis","commit_stats":null,"previous_names":["averms/transformers_for_sentiment_analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/averms%2Ftransformers_for_sentiment_analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/averms%2Ftransformers_for_sentiment_analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/averms%2Ftransformers_for_sentiment_analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/averms%2Ftransformers_for_sentiment_analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/averms","download_url":"https://codeload.github.com/averms/transformers_for_sentiment_analysis/tar.gz/refs/heads/trunk","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242619111,"owners_count":20159001,"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":[],"created_at":"2025-01-17T07:12:22.629Z","updated_at":"2026-04-21T14:34:49.312Z","avatar_url":"https://github.com/averms.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Using Encoder-Only Transformers for Sentiment Analysis\n\n## Reproduce\n\nYou can use the Dockerfile. Just build it with\n\n```\ndocker build . -t eotfsa\n```\n\nand run it. Running without any arguments will only do the preprocessing step. To get\ndropped in a shell with all dependencies installed, use\n\n```\ndocker run --rm -it eotfsa:latest bash -l\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faverms%2Ftransformers_for_sentiment_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faverms%2Ftransformers_for_sentiment_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faverms%2Ftransformers_for_sentiment_analysis/lists"}