US Elections

Thought I would do a series of wordclouds and sentiment graphs each day from Australia using data from twitter.

Basic searchkey’s are “trump election” and then “biden election”, very simple and some overlap. 5000 tweets are sampled.

The wordcloud is formed from taking counts of the most groups of 5 words.

The sentiment graph is taken using a method that attempts to account for the use of negation eg not like is considered negative but like is positive.

22/10/2020 midday EST Australia

“trump election”

Sentiment

The overall sentiment is negative, less than zero on LHS.

5 word phases wordcloud

“biden election”

Sentiment

More balanced postive and negative around 0

Wordcloud

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