Social sentiment indices powered by X-scores
Davis, Brian ; Cortis, Keith ; Vasiliu, Laurentiu ; Koumpis, Adamantios ; McDermott, Ross ; Handschuh, Siegfried
Davis, Brian
Cortis, Keith
Vasiliu, Laurentiu
Koumpis, Adamantios
McDermott, Ross
Handschuh, Siegfried
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Publication Date
2016-05
Type
Conference Paper
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Citation
Brian Davis, Keith Cortis, Laurentiu Vasiliu, Adamantios Koumpis, Ross McDermott and Siegfried Handschuh (2016) Social Sentiment Indices Powered by X-Scores 2nd International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA 2016 Lisbon, Portugal, 21/02/2016- 25/02/2016
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.
Funder
Publisher
INSIGHT Centre for Data Analytics, NUI Galway, Ireland
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Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland