Sentiment Analysis of 2019 Australian Election

Photo by Saayed Alam

I work with a group of Data Scientists, most notably Vinicio Haro from Bloomberg, to perform text mining on over 180,000 tweets during 2019 Australian Election. We implement Sentiment Analysis on tweets to find the overall attitude of the twitter users during the time of election. Then we apply Network Analysis to find Twitter users who are best placed to influence the network and find users who can quickly connect with the wider network.

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Data Scientist

Saayed Alam creates machine learning products and occasionally gets philosophical.

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