{"id":18664643,"url":"https://github.com/scionoftech/textclassification-bert","last_synced_at":"2026-03-06T02:31:44.782Z","repository":{"id":101410435,"uuid":"214430231","full_name":"scionoftech/TextClassification-BERT","owner":"scionoftech","description":"A jupyter notebook, Text classificaiton using BERT: Bidirectional Encoder Representations from Transformers","archived":false,"fork":false,"pushed_at":"2019-10-11T12:30:18.000Z","size":1991,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-12T22:17:49.717Z","etag":null,"topics":["bert","bert-server","rnn-lstm","text-classificaiton"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/scionoftech.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":"2019-10-11T12:25:43.000Z","updated_at":"2024-12-22T16:07:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"dab6740c-852d-49d0-8a83-e7d2322e587d","html_url":"https://github.com/scionoftech/TextClassification-BERT","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/scionoftech/TextClassification-BERT","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scionoftech%2FTextClassification-BERT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scionoftech%2FTextClassification-BERT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scionoftech%2FTextClassification-BERT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scionoftech%2FTextClassification-BERT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/scionoftech","download_url":"https://codeload.github.com/scionoftech/TextClassification-BERT/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scionoftech%2FTextClassification-BERT/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30159515,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-05T22:39:40.138Z","status":"online","status_checked_at":"2026-03-06T02:00:08.268Z","response_time":250,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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","bert-server","rnn-lstm","text-classificaiton"],"created_at":"2024-11-07T08:24:23.089Z","updated_at":"2026-03-06T02:31:44.765Z","avatar_url":"https://github.com/scionoftech.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## BBC Text MultiClass Classification - BERT: Bidirectional Encoder Representations from Transformers\n\nA jupyter notebook, Text classificaiton using BERT: Bidirectional Encoder Representations from Transformers\n\nBERT stands for Bidirectional Encoder Representations from Transformers. It is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of NLP tasks.\n\nFind more details about Bidirectional Encoder Representations from Transformers at [BERT](https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1)\n\n\n[![BERT](Screenshot-from-2019-06-18-08-46-42.png)](https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1)\n\n[![BERT](Screenshot-from-2019-06-18-08-45-09.png)](https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1)\n\n### Get BERT server and client\n\n#### server\n\n```bash\n$ pip install bert-serving-server  \n```\n#### client, independent of bert-serving-server`\n\n```bash\n$ pip install bert-serving-client \n```\n\n#### download BERT\n```bash\n$ wget https://storage.googleapis.com/bert_models/2018_10_18/uncased_L-12_H-768_A-12.zip \u0026\u0026 unzip uncased_L-12_H-768_A-12.zip\n```\n\n#### Run BERT Server\n```bash\n$ bert-serving-start -model_dir uncased_L-12_H-768_A-12/ -num_worker=2 -max_seq_len 50\n```\n\nDataset link [bbc-fulltext-and-category](https://www.kaggle.com/yufengdev/bbc-fulltext-and-category)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscionoftech%2Ftextclassification-bert","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscionoftech%2Ftextclassification-bert","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscionoftech%2Ftextclassification-bert/lists"}