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Investors daily have received news and opinions about different stocks or firms through specialised platforms. These one convey information, which leads different investors to make decisions. These decisions impact the market, which aggregates the information that investors receive and reflects it via the price of the firms or stocks. Given an algorithm for classifying text… » read more

  Posted by Social Sentiment Indices powered by X-Scores

This Saturday it is exactly six decades ago that the foundations of the EU were laid with the Treaty of Rome. On behalf of the 15 European automobile manufacturers, I would like to congratulate Europe on its 60th anniversary. In these times, when principles such as free trade and the freedom of movement are under… » read more

  Posted by Secretary General of the European Automobile Manufacturers' Association (ACEA)

The main source of data for the SSIX project is undoubtedly Twitter. In fact, it is the only platform still providing free and continuous access to live streams of contents, thanks to the official Streaming APIs (for more information, read this article on how to collect data from Twitter). Although all the data retrieved from… » read more

  Posted by Social Sentiment Indices powered by X-Scores

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

  Posted by 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

  Posted by Social Sentiment Indices powered by X-Scores

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

  Posted by Social Sentiment Indices powered by X-Scores

Guest blog post by Dr. Maikel Pellens, senior researcher in the Research Department “Economics of Innovation and Industrial Dynamics” at the Centre for European Economic Research (ZEW) in Germany.   The commercialisation of research is one of the bottlenecks in European science and innovation policy. The economic impact of the billions of euros invested in… » read more

  Posted by The Guest Blog

The upset was massive. The result of the referendum divided the country between cities, typically voting No, and periphery which voted Yes. Whilst all polls and experts predicted No would win, a tiny majority voted to exclude EU immigrants from moving in. All major world newspapers predicted the economy would be much affected by skills… » read more

  Posted by TAXI: Europa

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