{"id":15063937,"url":"https://github.com/flysirin/adstextclassification","last_synced_at":"2026-01-02T23:07:53.019Z","repository":{"id":255496421,"uuid":"851532415","full_name":"flysirin/AdsTextClassification","owner":"flysirin","description":"Classification of advertisements by topic","archived":false,"fork":false,"pushed_at":"2024-09-11T14:37:04.000Z","size":11804,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-22T19:45:41.974Z","etag":null,"topics":["docker","excel","flask","pandas","python","pytorch","scikit-learn"],"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/flysirin.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":"2024-09-03T09:12:20.000Z","updated_at":"2024-10-05T08:12:57.000Z","dependencies_parsed_at":"2024-09-25T00:09:07.299Z","dependency_job_id":"4c6e5252-2231-40db-8d36-cfb5409904cf","html_url":"https://github.com/flysirin/AdsTextClassification","commit_stats":null,"previous_names":["flysirin/adstextclassification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flysirin%2FAdsTextClassification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flysirin%2FAdsTextClassification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flysirin%2FAdsTextClassification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flysirin%2FAdsTextClassification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/flysirin","download_url":"https://codeload.github.com/flysirin/AdsTextClassification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243837007,"owners_count":20355813,"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":["docker","excel","flask","pandas","python","pytorch","scikit-learn"],"created_at":"2024-09-25T00:08:59.209Z","updated_at":"2026-01-02T23:07:53.001Z","avatar_url":"https://github.com/flysirin.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Text Classification with PyTorch and Scikit-Learn\n\nThis project focuses on text classification using a neural network built with PyTorch. It leverages `CountVectorizer` from `scikit-learn` for text preprocessing and includes evaluation metrics such as accuracy, precision, recall, and F1-score to measure the model’s performance.\nContains [AppFlaskPyTorch](AppFlaskPyTorch) - server with Flask and PyTorch on docker, click for read more information.\n\n\n\n## How to use\n1. Put labeled data **excel** file in `./data/train_data` for train model   \nColumn with text - named - 'text'\nColumn with label - named - 'label'  \n\n2. Run train model\n ```shell\n   python train.py\n   ```\n3. Model and parameters save in `./saved/model/`\n\n4. Put your data witch you want to classificate in `./data/for_prediction_data`\n5. ```python run_predict_data.py```\n6. Classificated data will be saved in `./data/output_data` with `label`\n\n## Requirements\n```shell\npip install -r requirements.txt\n```\n##### Contains\n```\ntorch==2.4.0\npandas==2.2.2\nscikit-learn==1.5.1\nopenpyxl\ntorchtext==0.18.0\nnumpy\u003c2\n```\n\n`numpy\u003c2 ` - downgrade version for exclude conflicts  \n\n## Special requirements for using Cuda\n```\npip install -r requirements_cuda.txt\n```\n##### Contains\n```\n# Specifying the source for PyTorch packages\n--index-url https://download.pytorch.org/whl/cu121\n\n# Packages with specific versions and source\ntorch==2.4.1\ntorchvision==0.19.1\ntorchaudio==2.4.1\n\n# Packages from standard PyPI\n--extra-index-url https://pypi.org/simple\n\npandas==2.1.2\nscikit-learn==1.5.1\nopenpyxl\ntorchtext==0.18.0\n\n```\n\n#### Further development in progress\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflysirin%2Fadstextclassification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fflysirin%2Fadstextclassification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflysirin%2Fadstextclassification/lists"}