SSIX - Social Sentiment Indices powered by X-Scores

Archives for Innovation & Enterprise

On October 18th – 19th, the SSIX consortium has held its second general assembly in 2016. This meeting, which was combined with the second networking workshop organized by SSIX, marked the halftime of the project already! Such a milestone marks a welcome opportunity to look back at what has already been achieved and to prepare… » read more

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It’s worth emphasizing that fully incremental architectures are so widespread that many people don’t realize it’s possible to avoid their problems with a different architecture. These are great examples of familiar complexity—complexity that’s so ingrained, you don’t even think to find a way to avoid it. ~ Nathan Marz The SSIX Platform will be an… » read more

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Sentiment analysis (SA) is an example of a Natural Language Processing (NLP) application which attracts a lot of attention due to the general commercial interest and potential around it. Despite the big buzz around sentiment analysis, there is still a major gap in the understanding of the main technical components behind it. This series of… » read more

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Important elections move Europe and the United States in 2016. On June 23, the UK decided to leave the EU, on November 8, the USA will vote for a new president to follow Barack Obama. The race between Hillary Clinton and Donald Trump – and their campaigns to become their parties’ candidates – electrifies a… » read more

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The Twitter sentiment analysis indicates that ‘Remain’ is still on course to a victory but is getting weaker. In general the win side will most likely have a marginal victory, as ‘Remain/Leave’ vote is going to be very tight. The monitoring performed by the SSIX consortium shows a weakening pattern over the last 72h for… » read more

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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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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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Why Machine Learning? Can computers learn how to perform complex tasks such as driving autonomous cars [1], spotting cancer cells [2] or analysing sentiment [3] without being specifically instructed? The answer is Yes – and Machine Learning (ML) provides the tools! Rather than relying on explicit instructions (rules), ML systems learn from examples. This allows… » 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

Posted by ssix