https://github.com/raymondcm/delightfulr

Sentiment analysis of twitter users tweets by their usernames using AFINN.
https://github.com/raymondcm/delightfulr

afinn javascript nodejs sentiment-analysis

Last synced: about 2 months ago
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Sentiment analysis of twitter users tweets by their usernames using AFINN.

• Host: GitHub
• URL: https://github.com/raymondcm/delightfulr
• Owner: RaymondCM
• License: mit
• Created: 2016-10-04T19:23:05.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-01-09T14:54:40.000Z (about 7 years ago)
• Last Synced: 2024-10-21T18:35:24.383Z (3 months ago)
• Topics: afinn, javascript, nodejs, sentiment-analysis
• Language: JavaScript
• Homepage: https://delightfulr.herokuapp.com/
• Size: 350 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Delightfulr

Sentiment analysis of twitter users tweets by their usernames.

## Installation

1. Clone the repository locally

2. Install node.js

3. Go to cloned directiory `cd PATH`

4. Install dependancies `npm install`

5. Start Server `node app.js`

## Usage

Most recent deploy [Delightfulr on Heroku](https://delightfulr.herokuapp.com/).

## Contributing

1. Fork it!

2. Create your feature branch: `git checkout -b my-new-feature`

3. Commit your changes: `git commit -am 'Add some feature'`

4. Push to the branch: `git push origin my-new-feature`

5. Submit a pull request.