https://github.com/byte7/twitter-sentiment-dashboard

A twitter sentiment analysis dashboard made using Dash ⚡️
https://github.com/byte7/twitter-sentiment-dashboard

dash plotly-dash twitter-sentiment-analysis

Last synced: about 2 months ago
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A twitter sentiment analysis dashboard made using Dash ⚡️

• Host: GitHub
• URL: https://github.com/byte7/twitter-sentiment-dashboard
• Owner: Byte7
• License: mit
• Created: 2018-04-11T15:34:39.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-05-20T15:04:09.000Z (about 7 years ago)
• Last Synced: 2025-01-31T01:16:03.062Z (4 months ago)
• Topics: dash, plotly-dash, twitter-sentiment-analysis
• Language: Python
• Size: 159 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Twitter-Sentiment-Dashboard

A twitter sentiment analysis dashboard made using Dash ⚡️

Dash is developed by Plotly.

## How to run the app

1. Sign into Twitter dev site (https://apps.twitter.com/). You'll need a twitter account for the same, so make sure you have one already or make a new one!

2. Click on create new app. Name your app, write a small description and related urls. One can change url later through settings.

3. After creating new app, generated api key will be displayed. Below api key, there is a option to generate access token and access secret. Generate access token and secret.

3. Fill the api key, api secret, access token, access secret in twitter_senti_dashboard.py

4. Run both files simultaneously.

5. View dashboard at `localhost:8050`.

## Make it yours

Currently the sentiment scores are calculated for tweets of topic `sports`.

You can change this line `twitterStream.filter(track=["sports"])` in the twitter_senti_dashboard.py file to track scores of any other topic.