{"id":19682477,"url":"https://github.com/rayyan9477/sentiment-analysis-model","last_synced_at":"2026-04-12T17:53:43.049Z","repository":{"id":255231139,"uuid":"848935747","full_name":"Rayyan9477/Sentiment-Analysis-Model","owner":"Rayyan9477","description":"This project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization.","archived":false,"fork":false,"pushed_at":"2024-08-30T18:47:34.000Z","size":7452,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-27T07:25:17.547Z","etag":null,"topics":["data-science","machine-learning","machine-learning-algorithms","natural-language-processing","nltk-python","python","sentiment-analysis"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Rayyan9477.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":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-28T17:14:57.000Z","updated_at":"2024-08-30T18:47:37.000Z","dependencies_parsed_at":"2024-11-11T18:11:09.513Z","dependency_job_id":"ae1ba30b-7367-46c3-a7f5-693b0ccac097","html_url":"https://github.com/Rayyan9477/Sentiment-Analysis-Model","commit_stats":null,"previous_names":["rayyan9477/sentiment-analysis-model"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Rayyan9477/Sentiment-Analysis-Model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rayyan9477%2FSentiment-Analysis-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rayyan9477%2FSentiment-Analysis-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rayyan9477%2FSentiment-Analysis-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rayyan9477%2FSentiment-Analysis-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Rayyan9477","download_url":"https://codeload.github.com/Rayyan9477/Sentiment-Analysis-Model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rayyan9477%2FSentiment-Analysis-Model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271469227,"owners_count":24765124,"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","status":"online","status_checked_at":"2025-08-21T02:00:08.990Z","response_time":74,"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":["data-science","machine-learning","machine-learning-algorithms","natural-language-processing","nltk-python","python","sentiment-analysis"],"created_at":"2024-11-11T18:10:58.344Z","updated_at":"2025-11-10T16:06:37.613Z","avatar_url":"https://github.com/Rayyan9477.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sentiment Analysis Model\n\n## Summary\nThis project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization. Techniques used include tokenization, stopword removal, stemming, and feature extraction using CountVectorizer. The pipeline ensures a robust and efficient workflow for text data analysis and sentiment classification.\n\n## Requirements\n- Python \n- pandas\n- numpy\n- scikit-learn\n- plotly\n- nltk\n\nYou can install all the required packages using the following command:\n```sh\npip install -r requirements.txt\n```\n\n## How to Run the Project\n1. Clone the repository:\n    ```sh\n    https://github.com/Rayyan9477/Sentiment-Analysis-Model\n    cd Sentiment Analysis Model\n    ```\n2. Install the required packages:\n    ```sh\n    pip install -r requirements.txt\n    ```\n3. Run the main script:\n    ```sh\n    python app.py\n    ```\n\n## Project Structure\n```\nSentiment Analysis Model/\n│\n├── twiiter_training.csv\n├── twitter_validation.csv\n├── app.ipynb\n├── requirements.txt\n├── README.md\n└── app.py\n```\n\n## Screenshot\n![Project Screenshot](https://github.com/Rayyan9477/Sentiment-Analysis-Model/blob/main/plot.png)\n\n## Video Demo\n\n[Watch the video demonstration](https://github.com/Rayyan9477/Sentiment-Analysis-Model/blob/main/video_demo.mp4)\n\n\n## Contact\n- LinkedIn: [Rayyan Ahmed](https://www.linkedin.com/in/rayyan-ahmed9477/)\n- Email: rayyanahmed265@yahoo.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayyan9477%2Fsentiment-analysis-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frayyan9477%2Fsentiment-analysis-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayyan9477%2Fsentiment-analysis-model/lists"}