SSIX - Social Sentiment Indices powered by X-Scores

The SSIX project targets sentiment analysis in the financial domain. One of its main objectives is to overcome language barriers and realize a financial sentiment platform capable of scoring textual data in different languages. The three-year project was launched with English. In Year 2, we developed an English Gold Standard (GS) corpus and trained an… » read more

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In the recent blog post “Employing Social Sentiment Data for Investment and Trading: An Introduction (Part 1)”, we’ve explained that paying attention to the sentiment in social networks can be of great value for traders and investors. Let’s now turn our attention towards those people who observe the world of finance and report about it:… » read more

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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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Posted by ssix