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Full statistical methodology is available at twemotion.com, but generally speaking, it searches for a random sampling of tweets from the 5 locations listed above, using a set amount of trending topics from the corresponding locations. Emotion scores of 0–100 are then calculated using the ParallelDots AI Text Analysis API from https://apis.paralleldots.com/text_docs/index.html#emotion, news articles are retrieved using the NewsAPI from newsapi.org and the Enriched News API from webz.io, and tweets/trending topics are retrieved using the standard Twitter API. The graphs are then generated using PHPlot as all of the above takes place server-side. Tables showing the data in chart form are also available at the website. A bit of JavaScript is used for frontend website display, but everything else is written in PHP. Feel free to ask any questions or give your feedback.
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PopRuby
PopRuby: Clothing and Accessories for Ruby Developers. Fashion meets Ruby! Shop our fun Ruby-inspired apparel and accessories designed to celebrate the joy and diversity of the Ruby community.