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Twitter-Sentiment-Analysis-App-Deployment

This web App deploys a trained Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data.

Providing an accurate and robust solution to this task gives companies access to a broad base of consumer sentiment, spanning multiple demographic and geographic categories - thus increasing their insights and informing future marketing strategies

This web app classifies wether or not a person believes climate change is caused by man-kind. It classifies tweets or texts regarding climate change into 4 major classes:

  • 2 (News) : the tweet links to factual news about climate change
  • 1 (Pro) : the tweet supports the belief of man-made climate change
  • 0 (Neutral) : the tweet neither supports nor refutes the belief of man-made climate change
  • -1 (Anti): the tweet does not believe in man-made climate change Variable definitions

Web App video Demo 👇👇

Web_App_Demo.mp4

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