{"id":24970206,"url":"https://github.com/hasanulmukit/multi-language-sentiment-analysis","last_synced_at":"2026-05-20T05:02:49.596Z","repository":{"id":274765105,"uuid":"923994472","full_name":"hasanulmukit/multi-language-sentiment-analysis","owner":"hasanulmukit","description":"An AI-powered web app for real-time sentiment analysis using Hugging Face Transformers and Streamlit.","archived":false,"fork":false,"pushed_at":"2025-03-08T06:10:55.000Z","size":16,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-29T05:17:51.929Z","etag":null,"topics":["artificial-intelligence","huggingface","machine-learning","nlp","python","sentiment-analysis","streamlit"],"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/hasanulmukit.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":"2025-01-29T08:09:54.000Z","updated_at":"2025-03-08T06:10:59.000Z","dependencies_parsed_at":"2025-01-29T14:37:07.537Z","dependency_job_id":null,"html_url":"https://github.com/hasanulmukit/multi-language-sentiment-analysis","commit_stats":null,"previous_names":["hasanulmukit/sentiment-analysis","hasanulmukit/multi-language-sentiment-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hasanulmukit/multi-language-sentiment-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hasanulmukit%2Fmulti-language-sentiment-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hasanulmukit%2Fmulti-language-sentiment-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hasanulmukit%2Fmulti-language-sentiment-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hasanulmukit%2Fmulti-language-sentiment-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hasanulmukit","download_url":"https://codeload.github.com/hasanulmukit/multi-language-sentiment-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hasanulmukit%2Fmulti-language-sentiment-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":277088992,"owners_count":25758816,"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":"2025-09-26T02:00:09.010Z","response_time":78,"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":["artificial-intelligence","huggingface","machine-learning","nlp","python","sentiment-analysis","streamlit"],"created_at":"2025-02-03T15:56:34.889Z","updated_at":"2025-09-26T14:18:08.187Z","avatar_url":"https://github.com/hasanulmukit.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi Language Sentiment Analysis \n\n## 📌 Overview\n\nThis is a **Multi Language Sentiment Analysis App** built with **Streamlit** and **Hugging Face Transformers**. It allows users to analyze the sentiment (Positive, Negative) of any given text using **state-of-the-art NLP models**.\n\n## 🚀 Features\n\n- **Sentiment History** to track past analyses in a session.\n- **Graphical Representation** of sentiment confidence using a progress bar.\n- **Multi-Language Support** via Google Translate.\n- **File Upload Support** for bulk sentiment analysis.\n- **Download Results** as a CSV file.\n- **Emoji-based Sentiment Display** for better UX.\n\n## 🛠️ Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/hasanulmukit/sentiment-analysis-app.git\n   cd sentiment-analysis-app\n   ```\n2. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Run the app:\n   ```bash\n   streamlit run app.py\n   ```\n\n## 📊 Usage\n\n- **Enter Text**: Type or paste a sentence in the text area.\n- **Analyze Sentiment**: Click the \"Analyze\" button to get sentiment results.\n- **View History**: Check previous sentiment analyses.\n- **Upload Files**: Upload `.txt` or `.csv` files for batch analysis.\n- **Download Results**: Save the analysis as a CSV file.\n\n## 🏗️ Technologies Used\n\n- **Python** 🐍\n- **Streamlit** 🎨 (for UI)\n- **Transformers** 🤗 (Hugging Face NLP Models)\n- **SpeechRecognition** 🎙️ (for voice input)\n- **GoogleTrans** 🌍 (for multi-language support)\n- **Matplotlib \u0026 Pandas** 📊 (for visualization \u0026 data processing)\n\n## 🎯 Future Improvements\n\n- Improve accuracy with fine-tuned models.\n- Add support for more advanced NLP techniques.\n- Deploy the app using Streamlit Cloud or Hugging Face Spaces.\n\n## 💡 Contribution\n\nFeel free to fork this repo, improve it, and submit a pull request! 🚀\n\n## 📜 License\n\nThis project is licensed under the **MIT License**.\n\n---\n\n### 🌟 Show Your Support\n\nGive a ⭐️ if you found this useful!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhasanulmukit%2Fmulti-language-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhasanulmukit%2Fmulti-language-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhasanulmukit%2Fmulti-language-sentiment-analysis/lists"}