social sentiment indices powered by x scores

• DOI: 10.13025/s8qp4d
• Publication Date: 2016-01-01
• Authors: Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamatios; Handschuh, Siegfried; McDermott, Ross
• Keywords: Artificial intelligence; social media analytics; Natural language processing; social sentiment index;; big social and news data; Social media analytics; Social networking services; Sentiment analysis; Statistical analysis; sentiment analysis; Social sentiment index; cross-lingual; Big social and news data; Cross-lingual

Horizon 2020 - SSIX - Social Sentiment analysis financial IndeXes (grant no. 645425)<br/>Abstract—Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social media services, such as Twitter, Google+, Facebook, StockTwits and LinkedIn, and in conjunction with the most reliable and authoritative newswires, online newspapers, financial news networks, trade publications and blogs. A statistical framework of qualitative and quantitative parameters called X-Scores will power SSIX. This framework will interpret economically significant sentiment signals that are disseminated in the social ecosystem. Using X-Scores, SSIX will create commercially viable and exploitable social sentiment indices, regardless of language, locale and data format. SSIX and X-Scores will support research and investment decision making for European SMEs, enabling end users to analyse and leverage real-time social media sentiment data in their domain, creating innovative products and services to support revenue growth with focus on increased alpha generation for investment portfolios.<br/>