{"id":15818605,"url":"https://github.com/andostronaut/emotive-ai","last_synced_at":"2025-04-01T16:30:49.045Z","repository":{"id":152897161,"uuid":"626911065","full_name":"andostronaut/emotive-ai","owner":"andostronaut","description":"Sentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data","archived":false,"fork":false,"pushed_at":"2023-07-10T20:04:48.000Z","size":410,"stargazers_count":5,"open_issues_count":10,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-29T04:18:08.345Z","etag":null,"topics":["ai","cli","emotion-analysis","machine-learning","natural-language-processing","sentiment-analysis","text","typescript"],"latest_commit_sha":null,"homepage":"https://www.npmjs.com/package/emotive-ai","language":"TypeScript","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/andostronaut.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":"2023-04-12T12:06:09.000Z","updated_at":"2023-08-07T12:40:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"0b4b2bb1-3e85-40d4-88a9-189c9830b4d1","html_url":"https://github.com/andostronaut/emotive-ai","commit_stats":null,"previous_names":["andostronaut/emotive-ai","iamando/emotive-ai"],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andostronaut%2Femotive-ai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andostronaut%2Femotive-ai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andostronaut%2Femotive-ai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andostronaut%2Femotive-ai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/andostronaut","download_url":"https://codeload.github.com/andostronaut/emotive-ai/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246620277,"owners_count":20806736,"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":["ai","cli","emotion-analysis","machine-learning","natural-language-processing","sentiment-analysis","text","typescript"],"created_at":"2024-10-05T06:03:40.626Z","updated_at":"2025-04-01T16:30:48.743Z","avatar_url":"https://github.com/andostronaut.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EmotiveAI\n\n![build](https://github.com/iamando/emotive-ai/workflows/build/badge.svg)\n![license](https://img.shields.io/github/license/iamando/emotive-ai?color=success)\n![npm](https://img.shields.io/npm/v/emotive-ai)\n![release](https://img.shields.io/github/release-date/iamando/emotive-ai)\n\nSentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data\n\n![Demo](docs/demo.png)\n\n## Setup\n\nGet your MONKEY_LEARN_API_KEY and MONKEY_LEARN_MODEL_ID from [MonkeyLearn](https://monkeylearn.com/signup/)\n\n\u003e You'll have to create a account and use the trial mode just to test it\n\nSet your API_KEY and MODEL_ID:\n\n```bash\nemotive-ai config ui # to use ui prompt directly\n\nemotive-ai config set MONKEY_LEARN_API_KEY=\u003cyour key\u003e # for api key\n\nemotive-ai config set MONKEY_LEARN_MODEL_ID=\u003cyour model id\u003e # for model\n```\n\n## Usage\n\nRecommended\n\n```bash\nnpx emotive-ai \u003ctext\u003e\n```\n\nUsing global installation\n\n```bash\nnpm install -g emotive-ai # npm\nyarn add global emotive-ai # yarn\n\n\nemotive-ai \u003ctext\u003e\n```\n\n## Example\n\n```bash\nemotive-ai hello guys\n```\n\n\u003e 😄 : Positive with 65.81% of confidence\n\u003e A positive sentiment tag indicates that the sentiment of a piece of text is generally positive.This could mean that the text expresses a favorable opinion, conveys happiness or excitement, or generally has a positive tone.\n\n```bash\nemotive-ai its really a bad day\n```\n\n\u003e 😢 : Negative with 93.82% of confidence\n\u003e A negative sentiment tag indicates that the sentiment of a piece of text is generally negative. This could mean that the text expresses a critical opinion, conveys sadness or disappointment, or generally has a negative tone.\n\n## Support\n\nEmotiveAI is an MIT-licensed open source project. It can grow thanks to the sponsors and support by the amazing backers.\n\n## License\n\nEmotiveAI is [MIT licensed](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandostronaut%2Femotive-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandostronaut%2Femotive-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandostronaut%2Femotive-ai/lists"}