{"id":20331752,"url":"https://github.com/oussama-zbair/sentiment-analysis","last_synced_at":"2025-06-25T05:03:42.658Z","repository":{"id":240646244,"uuid":"797122904","full_name":"oussama-zbair/sentiment-analysis","owner":"oussama-zbair","description":"Sentiment analysis tool scraping Arabic comments displaying results.","archived":false,"fork":false,"pushed_at":"2024-05-21T07:45:10.000Z","size":2847,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-25T05:03:23.503Z","etag":null,"topics":["beatifulsoup","nltk-python","python","web-scraping"],"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/oussama-zbair.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":"2024-05-07T08:34:45.000Z","updated_at":"2024-05-21T07:45:14.000Z","dependencies_parsed_at":null,"dependency_job_id":"2c4cf5bc-a984-4fe1-967e-136c13643a5b","html_url":"https://github.com/oussama-zbair/sentiment-analysis","commit_stats":null,"previous_names":["oussama-zbair/sentiment-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/oussama-zbair/sentiment-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oussama-zbair%2Fsentiment-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oussama-zbair%2Fsentiment-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oussama-zbair%2Fsentiment-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oussama-zbair%2Fsentiment-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oussama-zbair","download_url":"https://codeload.github.com/oussama-zbair/sentiment-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oussama-zbair%2Fsentiment-analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261807929,"owners_count":23212683,"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":["beatifulsoup","nltk-python","python","web-scraping"],"created_at":"2024-11-14T20:23:30.259Z","updated_at":"2025-06-25T05:03:42.612Z","avatar_url":"https://github.com/oussama-zbair.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sentiment Analysis on Hespress Comments\n\n![Python](https://img.shields.io/badge/python-%2314354C.svg?style=for-the-badge\u0026logo=python\u0026logoColor=white) ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white) ![Flask](https://img.shields.io/badge/flask-%23000.svg?style=for-the-badge\u0026logo=flask\u0026logoColor=white) ![NLTK](https://img.shields.io/badge/nltk-%230078d7.svg?style=for-the-badge\u0026logo=nltk\u0026logoColor=white) ![BeautifulSoup](https://img.shields.io/badge/beautifulsoup-%2314354C.svg?style=for-the-badge\u0026logo=python\u0026logoColor=white)\n\nThis web application allows users to analyze the sentiment of comments on Hespress articles. It fetches comments from a Hespress article and classifies them as positive, negative, or neutral based on their sentiment.\n\n## Introduction\n\nThis tool allows you to analyze the sentiment of comments on Hespress articles. You can fetch comments from a Hespress article and analyze their sentiment to classify them as positive, negative, or neutral.\n\n## Getting Started\n\nTo get started with the app, follow these steps:\n\n1. Clone the repository to your local machine.\n   **Clone the repository to your local machine:**\n   ```bash\n   git clone https://github.com/your-username/sentiment-analysis.git\n   ```\n2. Install the required dependencies by running\n   ```bash\n   pip install -r requirements.txt`\n   ```\n3. Run the Flask web server by executing `python app.py`.\n4. Access the web app in your browser at `http://localhost:5000`.\n5. Enter the URL of a Hespress article in the input field and click \"Fetch and Analyze Comments\".\n\n## Usage\n\nOnce you've entered the URL of a Hespress article and clicked \"Fetch and Analyze Comments\", the app will display the sentiment analysis results, including the sentiment of each comment and a sentiment distribution chart.\n\n## Contributing\n\nContributions are welcome! If you find any bugs or have suggestions for improvement, please open an issue or submit a pull request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foussama-zbair%2Fsentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foussama-zbair%2Fsentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foussama-zbair%2Fsentiment-analysis/lists"}