Sentiment Sweep aims to captcha the mood of the internet, either overall or towards a specific topic. It does this by analysing real-time Twitter data, and calculating how positive or negative each Tweet it.
A series of dynamic data visualisations are then used to illustrate the results, and find trends between sentiment and other factors such as time of day, location, topic, country, people etc
It's open sauce, and the code and documentation can be viewed on GitHub
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The hexagon background is made up of Tweets from the past 60 seconds. Hover over a hexagon to read the associated Tweet. Sentiment is represented by color
Tap one of the links below to get started
The world according to Twitter is currently
10% positive. View the real-time twitter sentiment feed
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Interactive data visualisations with sentiment results calculated in real-time
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Generate the latest results from fresh Twitter data by entering a topic,
person, location, brand or object
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Want to know more about what Sentiment Sweep is, what it can be used for and how it works?
Learn more...
Sentiment Sweep aims to captcha the mood of the internet, either overall or towards a specific topic. It does this by analysing real-time Twitter data, and calculating how positive or negative each Tweet it.
A series of dynamic data visualisations are then used to illustrate the results, and find trends between sentiment and other factors such as time of day, location, topic, country, people etc
It's open sauce, and the code and documentation can be viewed on GitHub
Read More...Click one of the links below to generate the chart with the latest Twitter data
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