SSIX - Social Sentiment Indices powered by X-Scores

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Following on our previous article from December 16th, 2016. We now discuss the use of a social sentiment data for investment and training. The strategies and algorithms we describe here are simplified and are not intended for live trading but just for demonstration purposes. A live trading algorithm requires many more rules and functions to… » read more

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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

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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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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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