Lissy93/twitter-sentiment-visualisation

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        h2.grey-text.text-darken-2 Real-time analysis of social opinions

        p.flow-text Tap one of the links below to get started
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            h3.bold.flow-text.inline World Sentiment Now
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                | The world according to Twitter is currently
                | <b> #{Math.round(averageSentiment * 100)}%</b> positive. View the real-time twitter sentiment feed
                | <br>
                | <a href='/now'> Find out more...</a>

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            h3.bold.flow-text.inline Browse Data Charts
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                | Interactive data visualisations with sentiment results calculated in real-time
                | <br>
                |  <a href='#part-2'> View now...</a>
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            h3.bold.flow-text.inline Custom Search
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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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                |  <a href='/search'> Make a search now...</a>
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            h3.bold.flow-text.inline Learn More about this App
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                | Want to know more about what Sentiment Sweep is, what it can be used for and how it works?
                | <br>
                | <a href='#aboutMore'>Learn more...</a>

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            | Your missing out on half the fun!
            | Sentiment Sweep is best viewed in a desktop browser, or on a larger device


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            h3 Introduction to Sentiment Sweep
            p 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.

            p 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

            p It's open sauce, and the code and documentation can be viewed
                | on <a href='https://github.com/Lissy93/twitter-sentiment-visualisation'>GitHub</a>

            a.waves-effect.waves-teal.btn-flat.pull-right(href='/about') Read More...
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