SSIX · Project

Social Media Sentiment Scores That Help Businesses Make Smarter Investment and Market Decisions

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Imagine you could take the temperature of what millions of people are saying online about any topic — stocks, brands, products — and turn that into a simple score you can act on. That's what SSIX built. It scans Twitter, Facebook, news sites, and financial forums, then rates the mood around any subject using easy-to-read scores. Think of it like a weather forecast, but instead of predicting rain, it predicts whether public opinion is turning positive or negative on something that matters to your business.

By the numbers

EUR 3,315,963

EU funding for platform development

consortium partners

countries represented

SMEs in the consortium

62%

industry partner ratio

total project deliverables

The business problem

What needed solving

Businesses today are drowning in social media noise but starving for actionable market intelligence. Investment firms, brand managers, and risk analysts need to know what the public really thinks — not tomorrow, but right now. Manually monitoring Twitter, news, and forums is slow, subjective, and misses the big picture across languages and platforms.

The solution

What was built

SSIX built a complete sentiment analysis platform with a Final Release version, defined APIs, a revised NLP engine tested in real environments, and formal architecture specifications. The platform produces scored sentiment indices (called X-Scores) covering momentum, awareness scope, topic density, and historical comparison — all delivered through 27 project outputs including real-world industry pilot trials.

Audience

Who needs this

Quantitative trading firms and hedge funds looking for alternative data signalsMarketing agencies measuring campaign impact and brand perception across marketsInsurance companies and risk consultancies monitoring public sentiment around industries or eventsFinancial data providers wanting to add sentiment indices to their product offeringsSMEs in any sector needing affordable competitive intelligence from social media

Business applications

Who can put this to work

Financial Services

any

Target: Investment firms and asset managers

If you are an investment firm dealing with the challenge of reading market mood before it moves prices — this project developed a sentiment scoring platform that scans social media and financial forums in real time, producing actionable indices. The platform was tested in real-world commercial trials with industry partners across 6 countries. It could help you spot sentiment shifts early and reduce exposure to sudden market moves.

Marketing and Brand Management

SME

Target: Marketing agencies and brand-driven companies

If you are a marketing agency struggling to measure how your campaigns land with the public — this project built NLP-powered analysis tools that track awareness scope, momentum, and topic density across social networks and news outlets. With 8 partners contributing to the platform, the tools work across multiple languages and locales. This means you can quantify brand perception instead of guessing.

Insurance and Risk Assessment

enterprise

Target: Insurance companies and risk consultancies

If you are a risk consultancy that needs early warning signals from public discourse — this project created sentiment indices that score economically significant signals from social media conversations. The system includes historical comparison metrics, letting you track how sentiment around an industry or event evolves over time. The platform went through industry pilots confirming its commercial viability.

Frequently asked

Quick answers

What would it cost to use this sentiment analysis platform?

The project received EUR 3,315,963 in EU funding over 3 years to build the platform. Specific licensing or subscription pricing is not detailed in available project data. With 4 SMEs in the consortium, the tools were designed to be affordable for smaller companies, not just large enterprises.

Can this scale to monitor millions of social media posts in real time?

The platform was designed to search and index conversations across Twitter, StockTwits, Facebook, newswires, online newspapers, trade publications, and blogs. The architecture went through a revised version based on real-world evaluation feedback. Based on the final release platform deliverable, it was built for production-scale use.

Who owns the intellectual property and can I license it?

The consortium of 8 partners across 6 countries jointly developed the technology. IP arrangements would have been defined in the consortium agreement. Contact the coordinator at University of Galway to discuss licensing options for the platform, APIs, and NLP services.

Does this work in languages other than English?

Yes. The objective explicitly states SSIX classifies and scores content regardless of language, locale, or data architecture. The consortium spans 6 countries (Austria, Germany, Finland, Ireland, Italy, UK), suggesting multi-language capability was a core design requirement.

Has this been tested with real companies?

Yes. One of the key deliverables is titled 'Pilots in Industry' and is described as real-world commercial trials of SSIX tools and services with industry partner customers. With 5 industry partners in the consortium representing 62% of the partnership, commercial validation was central to the project.

What data sources does the platform actually cover?

Based on the project objective, SSIX covers Twitter, StockTwits, Facebook, newswires, online newspapers, trade publications, and blogs. The NLP service architecture went through two iterations — an initial version and a revised version based on real-world feedback.

Is there regulatory compliance for financial sentiment data?

The project was funded as an Innovation Action under ICT-15-2014, targeting commercially viable social sentiment indices. Based on available project data, specific regulatory compliance details (such as MiFID II or GDPR alignment) are not explicitly mentioned in the deliverable descriptions. This should be verified directly with the coordinator.

Consortium

Who built it

The SSIX consortium is strongly industry-oriented: 5 out of 8 partners come from industry, and 4 are SMEs, giving a 62% industry ratio — well above average for EU projects. This signals the technology was built for commercial use, not just academic publication. The 2 university partners (including coordinator University of Galway) provided the research backbone, while industry partners across 6 countries (Austria, Germany, Finland, Ireland, Italy, UK) ensured the platform works in real market conditions. The mix of SMEs and larger firms means the tools were tested at different scales, making them more likely to fit your organization regardless of size.

UNIVERSITY OF GALWAYCoordinator · IE
3RDPLACE SRLparticipant · IT
PERACTON LIMITEDparticipant · IE
HANDELSBLATT GMBHparticipant · DE
UNIVERSITAT PASSAUparticipant · DE
EURACTIV.COM LIMITEDparticipant · UK

How to reach the team

University of Galway, Ireland — reach out to the NUI Galway Insight Centre for Data Analytics team for licensing and collaboration inquiries

Order a report on this consortium See UNIVERSITY OF GALWAY profile →

Next steps

Talk to the team behind this work.

Want to explore how SSIX sentiment tools could give your business a market edge? SciTransfer can connect you directly with the research team and help structure a pilot or licensing deal.

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