SSIX - Social Sentiment Indices powered by X-Scores

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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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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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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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