SSIX - Social Sentiment Indices powered by X-Scores

The creation of real-world Artificial Intelligence (AI) applications is dependent on leveraging a large volume of commonsense knowledge. Simple semantic interpretation tasks such as understanding that if ‘A is married to B’ then ‘A is the spouse of B’ or that ‘car, vehicle, auto’ have very similar meanings are examples of semantic approximation operations/inferences that… » read more

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Following the multilingual approach for Sentiment Analysis described previously, today the SSIX Project is pleased to announce the public release of two important pieces of software in our machine translation chain. We are opensourcing two new clients to programmatically access some features of the GeoFluent API: GeoFluent Java Client GeoFluent Python Client Both software components… » read more

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This article is the first part from a short series of articles about investment and trading using SSIX social sentiment data. As social networks become more and more part of our daily life, an increasing volume of comments and opinions covering a huge variety of topics are shared every second. Considering that social networks are… » read more

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One of the primary targets of the SSIX project is sentiment analysis in the financial domain across multiple languages. Work is progressing on the English front, where a three-way validated sentiment gold standard has been developed and is currently being used to train the sentiment classifier. The work on English can rely on several available… » read more

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The Eighth Framework Programme for Research and Innovation of the EU called Horizon 2020 started in 2014. Approaching the halftime of the funding period, the Ministry for Economics of North Rhine-Westphalia has organised a public event to consider the results of the first funding period and prepare for the second one. So far, more than… » read more

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Modern NLP pipelines use large models that need to be distributed across all the processing infrastructure. For example, in the SSIX project we’re managing models of several GBs for the financial sector. At that scale you can’t assume the models will be transferred at task submission time, neither manually. From our research, we didn’t find… » read more

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In these days, SSIX is integrating a new type of sources into the platform, that will capture information from generic news feeds (or web feeds). This will allow to perform data ingestion from external websites exposing public feeds, like the ones provided by Google News, Yahoo Finance and other news aggregators or publishers, which give… » read more

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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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SSIX Sentiment Analysis and Opinion Mining platform intends to monitor specific topics that are discussed in texts from several sources, including social networks, which are rich repositories of people’s opinions. While the technology that is currently being developed is open and flexible to application to various domains (i.e. politics, sport, etc.), the data filtering component… » read more

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