{"id":17816948,"url":"https://github.com/eczy/live-sentiment-analysis","last_synced_at":"2026-01-20T11:32:27.844Z","repository":{"id":67031790,"uuid":"228717618","full_name":"eczy/live-sentiment-analysis","owner":"eczy","description":null,"archived":false,"fork":false,"pushed_at":"2025-07-15T21:25:24.000Z","size":2076,"stargazers_count":1,"open_issues_count":3,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-16T20:01:06.188Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","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/eczy.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":"2019-12-17T23:13:13.000Z","updated_at":"2025-07-15T21:22:58.000Z","dependencies_parsed_at":null,"dependency_job_id":"a8ec9ce5-406c-473e-a2e0-180e33a57107","html_url":"https://github.com/eczy/live-sentiment-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/eczy/live-sentiment-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eczy%2Flive-sentiment-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eczy%2Flive-sentiment-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eczy%2Flive-sentiment-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eczy%2Flive-sentiment-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eczy","download_url":"https://codeload.github.com/eczy/live-sentiment-analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eczy%2Flive-sentiment-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28602459,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T10:46:13.255Z","status":"ssl_error","status_checked_at":"2026-01-20T10:42:51.865Z","response_time":117,"last_error":"SSL_read: 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":[],"created_at":"2024-10-27T16:39:49.377Z","updated_at":"2026-01-20T11:32:27.827Z","avatar_url":"https://github.com/eczy.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Live Sentiment Analysis\n\nThis is a toy web app that performs sentiment analysis on\ntextual user input as it is being written. Currently, this is only\ndesigned to run in a dev environment, but with a few minor modifications\nit can be deployed with any cloud service provider.\n\nFor sake of simplicity, speed, and lack of having a huge dataset for training,\nthis application uses a pre-trained rule based VADER model\n([paper](https://www.researchgate.net/publication/275828927_VADER_A_Parsimonious_Rule-based_Model_for_Sentiment_Analysis_of_Social_Media_Text))\nbuilt into NLTK. There is an npm package for VADER, but the application was\nbuilt with a backend so that more complex/computationally expensive models\ncan be used.\n\n## How to run\n1. Clone this repo\n2. Navigate to `/api`\n3. Create a new virtual enivironment with the dependencies in `/api/requirements.txt`\n4. Specify `app.py` as the Flask app to run: `export FLASK_APP=app.py`\n5. Run the Flask application: `flask run`\n6. In a new terminal (or the same if you ran Flask in the background), navigate to `/ui`\n7. Install the React frontend and run the dev server: `npm i; npm start`\n8. Go to `localhost:3000` and experiment!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feczy%2Flive-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feczy%2Flive-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feczy%2Flive-sentiment-analysis/lists"}