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Can we use AI to better understand who the 2020 presidential candidates are?

  • > We used the latest in NLU (Natural Language Understanding) and analytics to analyze the candidates, their deepest communities, and public perception.
  • > We analyzed over 300,000 tweets from the candidates, 2 million comments on Reddit, and 2 million public tweets about the candidates.
  • > We're continuing to scrape & process new tweets and comments for active, so check back soon for more content.
  • > Coming soon: Filter content to see analytics containing specific keywords.

Who are the
candidates?

Who are their
deepest bases?

What are people saying
about them?

User Id Analytical Anger Confident Fear Hate Speech Joy Offensive Sadness Sentiment Tentative
User Id Analytical Anger Confident Fear Hate Speech Joy Offensive Sadness Sentiment Tentative
Candidate Analytical Anger Confident Fear Hate Speech Joy Offensive Sadness Sentiment Tentative

How did we build this?

  • > We scraped Tweets with greater than 5 likes using Twint , and Reddit using the FH BQ Dataset.
  • > We used IBM Watson to generate Tone and Personality Insights.
  • > We used Google NLP and Spacy to detect topics & entities.
  • > We used NLTK to generate sentiment, offensiveness and hate.
  • > We used BigQuery to store and run analytics queries.

Super-Powers for your own Data.

Want really insane,
powerful analytics on
your own life?

  • > Discover the truth about who you are online.
  • > Analyze your personality, sentiment, tone, and actions.

Want really insane,
powerful analytics on
work communication?

  • > All your work communication in one location.
  • > Powerful analytics on what work to focus on.

Now that you understand the candidates a little better, make sure to do your civic duty.

Go Vote.



God mode for your data - understand your life online.

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