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An Analysis Brexit Polarity Tweets

Background

The Brexit was a term that refers to the withdrawal of the United Kingdom (UK) from the European Union. It is a combination of Britain and exit. The country is the sole country to ever left the EU. As Brexit has significant implications to the people of the UK, diversing opinions (positively and negatively) arose with the event. Consequently, there is a polarity among Twitter users which then can be observed by the tweets. This notebook contains analysis of a Kaggle dataset: Brexit Polarity Tweets. The analysis implemented deep learning techniques to model the sentiment among tweets related to Brexit.

Objectives

  • To understand the opinions of the British with regards to Brexit according to what they say in their tweets.
  • To build a classification deep learning model that can classify a tweet related to Brexit as someone that is pro or anti the policy.

Authors:

  1. Hanzholah Shobri (github, linkedin, twitter)
  2. Muhammad Noorrosyid Sulaksono (github, linkedin)

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The repository contain notebooks in analysing the Brexit tweets and building predictive model of Brexit tweets.

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