SSIX - Social Sentiment Indices powered by X-Scores

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This is the conclusion of the Brexit monitoring from today (21 June) by the SSIX EU project consortium. All the X-scores show us that there is a stable trend with low volatility within the Twitter opinion towards staying in the EU. The X-scores provide us with the ability to understand sentiment/opinion behaviour in detail and… » read more

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The social sentiment monitoring of the upcoming Brexit vote is our very first attempt to test the SSIX technology live. Originally, we had not envisioned that politics would be its very first real world test. However, Brexit is a unique event not to be missed, due to its global economic impact, as well as political… » read more

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Following the activities initiated last September in Budapest, this whole week the SSIX Project will be in Vancouver (BC, Canada) for attending the ApacheCon North America 2016. ApacheCon is a well-established event in the open source community. For more than a decade, these events have brought the Apache project community together to meet, network, learn… » read more

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As discussed in a previous post, Social Network data will be one of the main sources of the SSIX Sentiment Analysis platform for Financial domains. It is well known that the amount of data made available from such sources is huge, and the first challenge is to be able to filter relevant content out of… » read more

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For ages, companies have invested money, time and effort in marketing campaigns. Marketing serves numerous different purposes. Besides the introduction and promotion of new products, the image of a brand is of major importance. Creating a positive sentiment about a brand is the motivation behind large marketing campaigns or corporate social responsibility plans. To evaluate… » read more

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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

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  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