Problem / Goal
We used WordPress for a base of articles. It is an easy-to-use tool for non-technical people, so that anyone could edit the content. We created a plugin to fulfill our customer’s specification – to collect and regularly update data from other sites (e.g. pictures of sportspeople and meta-data of their Twitter accounts).
Solr is a perfect solution for performing full text searches in large quantities of data. In this case it was used for the analysis of hundreds of millions of tweets and the assignment of a proper category based on the sports discipline, participating teams and score. Additionally, a custom module was designed to extract emotions from the tweets and discover if these are positive or negative. In other words, we created a sophisticated pool mechanism which automatically gathers and analyses data from Twitter.