https://github.com/ariessa/twitter-sentiment-analysis-using-vader

Sentiment Analysis Using VADER on texts gathered from Twitter
https://github.com/ariessa/twitter-sentiment-analysis-using-vader

social-media twitter twitter-api vader-sentiment-analysis

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Sentiment Analysis Using VADER on texts gathered from Twitter

• Host: GitHub
• URL: https://github.com/ariessa/twitter-sentiment-analysis-using-vader
• Owner: ariessa
• Created: 2019-10-14T14:10:56.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-10-14T14:21:42.000Z (over 5 years ago)
• Last Synced: 2024-11-11T06:16:47.691Z (2 months ago)
• Topics: social-media, twitter, twitter-api, vader-sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 519 KB
• Stars: 1
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Twitter Sentiment Analysis Using VADER

Twitter is known as a platform for opinion sharing through posting tweets, retweeting, or liking tweets. As such, I used VADER

(Valence Aware Dictionary for sEntiment Reasoning) to perform sentiment analysis on texts gathered from Twitter. VADER is a

simple rule-based model that was created specifically for sentiment analysis on social media. This is because it takes slangs, short words and emoticons into account.

Further information about the project can be read [here](https://github.com/ariessa/Twitter-Sentiment-Analysis-Using-VADER/blob/master/Twitter%20Sentiment%20Analysis%20Using%20Vader.pdf).

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