{"id":19084143,"url":"https://github.com/desininja/airline_tweet_analysis","last_synced_at":"2026-05-17T19:03:40.358Z","repository":{"id":205221503,"uuid":"316304038","full_name":"desininja/Airline_tweet_analysis","owner":"desininja","description":"Sentiment analysis of tweets about US Airline","archived":false,"fork":false,"pushed_at":"2024-11-19T07:04:43.000Z","size":1422,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T06:28:31.016Z","etag":null,"topics":["streamlit","streamlit-dashboard","streamlit-webapp"],"latest_commit_sha":null,"homepage":"https://desininja-airline-tweet-analysis-application-aw2cdk.streamlit.app/","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/desininja.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":"2020-11-26T18:02:11.000Z","updated_at":"2024-11-19T07:04:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"cd4bfcf9-dc87-4611-89ea-9f17c454ae86","html_url":"https://github.com/desininja/Airline_tweet_analysis","commit_stats":null,"previous_names":["desininja/airline_tweet_analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/desininja/Airline_tweet_analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/desininja%2FAirline_tweet_analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/desininja%2FAirline_tweet_analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/desininja%2FAirline_tweet_analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/desininja%2FAirline_tweet_analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/desininja","download_url":"https://codeload.github.com/desininja/Airline_tweet_analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/desininja%2FAirline_tweet_analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33151625,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T09:28:26.183Z","status":"ssl_error","status_checked_at":"2026-05-17T09:27:52.702Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["streamlit","streamlit-dashboard","streamlit-webapp"],"created_at":"2024-11-09T02:50:11.785Z","updated_at":"2026-05-17T19:03:40.330Z","avatar_url":"https://github.com/desininja.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Airline Tweet Sentiment Analysis Application\n\nThis application is a **Streamlit dashboard** used to analyze the sentiments of tweets about US Airlines 🐦. It provides visualizations and insights based on tweet data, including sentiment analysis, word clouds, and airline-specific breakdowns.\n\n---\n\n## Features\n- Sentiment analysis of tweets (Positive, Neutral, Negative)\n- Visualizations (Bar plots, Pie charts, Maps)\n- Word clouds for different sentiments\n- Airline-wise tweet analysis and breakdown\n\n---\n\n## Hosted Application\n**Streamlit hosted web page:**  \n[Click here to visit the app!](https://desininja-airline-tweet-analysis-application-aw2cdk.streamlit.app/)\n\n---\n\n## How to Run Locally\n### 1. Clone the Repository\n```bash\ngit clone https://github.com/your-repo/airline-tweet-analysis.git\ncd airline-tweet-analysis\n```\n\n### 2. Create a Virtual Environment\n```bash\npython -m venv venv\nsource venv/bin/activate  # On macOS/Linux\nvenv\\Scripts\\activate     # On Windows\n```\n\n### 3. Install Dependencies\n```bash\npip install -r requirements.txt\n```\n\n### 4. Run the Streamlit Application\n```bash\nstreamlit run app.py\n```\n\n---\n\n## Technologies Used\n- **Python**: Core programming language\n- **Streamlit**: Web application framework\n- **Pandas**: Data manipulation and analysis\n- **Plotly**: Data visualization library\n- **WordCloud**: For generating word clouds\n- **Matplotlib**: Visualization library for custom plots\n\n---\n\n## Data Source\nThe data used in this application comes from a sample CSV file (`Tweets.csv`) containing tweets about US airlines, with sentiment labels and metadata.\n\n---\n\n## Screenshots\nTo be added soon.\n(Add screenshots or GIFs of application here to showcase its features.)\n\n---\n\n## Author\nCreated by [Himanshu Bhatt]  \nFeel free to reach out on [LinkedIn](https://www.linkedin.com/in/himanshubhatt06/) or [GitHub](https://github.com/desininja).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdesininja%2Fairline_tweet_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdesininja%2Fairline_tweet_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdesininja%2Fairline_tweet_analysis/lists"}