{"id":23672799,"url":"https://github.com/OG-GY/Text-Summarizer","last_synced_at":"2025-12-19T15:30:29.133Z","repository":{"id":269572978,"uuid":"888378746","full_name":"APRUN/Text-Summarizer","owner":"APRUN","description":null,"archived":false,"fork":false,"pushed_at":"2024-12-24T13:44:32.000Z","size":23259,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-24T15:17:47.960Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/APRUN.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":"2024-11-14T09:48:47.000Z","updated_at":"2024-12-24T13:44:35.000Z","dependencies_parsed_at":"2024-12-24T15:18:19.443Z","dependency_job_id":"93d0cdf3-fd69-4720-b94a-75da81263f37","html_url":"https://github.com/APRUN/Text-Summarizer","commit_stats":null,"previous_names":["aprun/text-summarizer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/APRUN%2FText-Summarizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/APRUN%2FText-Summarizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/APRUN%2FText-Summarizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/APRUN%2FText-Summarizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/APRUN","download_url":"https://codeload.github.com/APRUN/Text-Summarizer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239699467,"owners_count":19682574,"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":[],"created_at":"2024-12-29T11:19:31.590Z","updated_at":"2025-12-19T15:30:22.195Z","avatar_url":"https://github.com/APRUN.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📚 Extractive Text Summarizer\n\n\u003e **Supervisor**: Dr. Samyan Qayyum Wahla  \n\u003e **Group Members**: Faisal Ilyas (2022-CS-63), Khalil Ahmad (2022-CS-93)\n\n---\n\n## 🚀 Project Overview\nExtractive Text Summarizer identifies and selects key sentences from a text to capture its core meaning while reducing its length without losing essential information. It helps:\n\n- 🕒 Save time\n- 📈 Increase productivity\n- 🧠 Enhance decision-making abilities\n\n---\n\n## 🔍 Did You Know?\n\n- 📖 In **2022**, the average daily time spent reading was **15 minutes**.\n- 📘 By **2022**, **30%** reported having read an e-book.\n- 📶 In **2023**, Americans used over **100 trillion megabytes** of wireless data.\n\n(📊 *Source: Pew Research Center*)\n\n---\n\n## 🌟 Features\n\n- **Streamlit**: For an interactive UI.\n- **Python**: Backend implementation.\n\n---\n\n## 🌐 Technologies Used\n\n- **Streamlit** for a user-friendly and interactive interface.\n- **Python** for data processing and feature extraction.\n\n---\n\n## 🌏 Alignment with UN SDGs\n\nThis project aligns with the following **Sustainable Development Goals**:\n\n1. 🏫 Quality Education (SDG 4)\n2. 🌐 Industry, Innovation, and Infrastructure (SDG 9)\n3. 🔄 Reduced Inequalities (SDG 10)\n4. 🌍 Responsible Consumption and Production (SDG 12)\n\n---\n\n## 📚 Methodology\n\n1. **Input Text**: Users provide text through file upload or direct input.\n2. **Preprocessing**:\n   - Tokenization\n   - Cleaning\n3. **Feature Extraction**:\n   - Using **TF-IDF** and **LSA**\n4. **Summarization**:\n   - Extracting key sentences\n   - Generating final summaries\n5. **Output**: Summarized content is displayed or exported as a CSV file.\n\n```mermaid\ngraph TD\n    A[Text Input] --\u003e B[Preprocessing]\n    B --\u003e C[Feature Extraction]\n    C --\u003e D[Summarization]\n    D --\u003e E[Final Output]\n    A --\u003e F[File Upload]\n    F --\u003e B\n    E --\u003e G[CSV Export]\n```\n\n---\n\n## 📊 Results\n\n- **BLEU**: 0.34 (Measures overlapping n-grams)\n- **ROUGE-1**: 0.60 (High overlap of unigrams)\n- **ROUGE-2**: 0.64 (Overlap of bigrams)\n- **ROUGE-L**: 0.31 (Overlap at sentence level)\n\n---\n\n## 🔮 Future Work\n\n- Implementing **abstractive summarization**\n- Adding more flexible **UI**\n- Introducing new functionalities for students\n- Incorporating **QnA features**\n\n---\n\n## 🛠 How to Run\n\n### Step 1️⃣: Clone the Repository\n```bash\ngit clone https://github.com/your-repo-name.git\n```\n\n### Step 2️⃣: Install Dependencies\n```bash\npip install -r requirements.txt\n```\n\n### Step 3️⃣: Run the Application\n```bash\nstreamlit run app.py\n```\n\n---\n\n## 🎯 Usage\n\n1. Upload your text file or paste text into the input box.\n2. Click **Summarize** to generate a concise summary.\n3. View or export the results in CSV format.\n\n---\n\n## 🧠 Conceptual Overview\nExtractive summarization identifies and selects key sentences from a text to retain its core meaning while reducing its length. This saves time, increases productivity, and improves decision-making abilities.\n\n---\n\n## 🤝 Contributors\n\n- **Faisal Ilyas** (2022-CS-03)  \n- **Khalil Ahmad** (2022-CS-93)  \n\n---\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%2FOG-GY%2FText-Summarizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FOG-GY%2FText-Summarizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FOG-GY%2FText-Summarizer/lists"}