SSIX - Social Sentiment Indices powered by X-Scores

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Twitter is one of the platforms identified as data source within the SSIX project. Let’s see the different techniques that can be used to retrieve this data and the difficulties that derive from them. SSIX decided to adopt Twitter as a primary source of information used to spot financial trends and to calculate the indices… » read more

Posted by ssix

The SSIX project was presented, by Keith Cortis from the University of Passau, at the second International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2016). The conference took place in Portugal, more precisely in Lisbon on 22 February 2016. ALLDATA 2016 was one of a number of conferences organised as… » read more

Posted by ssix

  Filtering out irrelevant data before sampling Pre-sampling filtering aims to discard the least relevant data elements. This filtering can be done by removing unwanted spam content appearing on social networks generated by spambots, an example would be to discard text data which doesn’t contain emoticons as social media robots rarely use them. An alternative… » read more

Posted by ssix