https://github.com/cdeweyx/trump-sentiment-tracker
Web application using real-time twitter data to determine the public's current perception of President Donald Trump.
https://github.com/cdeweyx/trump-sentiment-tracker
d3-js flask heroku python sentiment-analysis twitter-api web-application
Last synced: about 1 year ago
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Web application using real-time twitter data to determine the public's current perception of President Donald Trump.
- Host: GitHub
- URL: https://github.com/cdeweyx/trump-sentiment-tracker
- Owner: cdeweyx
- Created: 2017-08-26T20:25:54.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2018-07-12T15:40:54.000Z (almost 8 years ago)
- Last Synced: 2023-10-20T18:43:58.929Z (over 2 years ago)
- Topics: d3-js, flask, heroku, python, sentiment-analysis, twitter-api, web-application
- Language: HTML
- Homepage: https://trump-sentiment-tracker.herokuapp.com
- Size: 56.6 KB
- Stars: 27
- Watchers: 2
- Forks: 9
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Trump Sentiment Tracker
### Description
Trump Sentiment Tracker uses real-time twitter data to determine the public's current perception of President Donald Trump. The web application streams all tweets containing the word 'Trump' within the last ten minutes of being launched. The tweets are then put through sentiment analysis in order to determine how postitive or negative they are. Lastly, the sentiment scores are averaged and reported to you using the visualization seen above. For best results, keep this tab open for a few minutes and then check it out.
### See the Web App
[Trump Sentiment Tracker](https://trump-sentiment-tracker.herokuapp.com)
### See the Post
I wrote a Medium post on the experience as well. You can find the post and more about the process here:
[How I Built Trump Sentiment Tracker](https://hackernoon.com/how-i-built-trump-sentiment-tracker-355ff87859f9)