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Social Sentiment Indices Powered by X-Scores

Authors:
Brian Davis
Keith Cortis
Laurentiu Vasiliu
Adamantios Koumpis
Ross McDermott
Siegfried Handschuh

Keywords: social sentiment index; cross-lingual; social media analytics; sentiment analysis; big social and news data.

Abstract:
Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable financial 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 financially 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.

Pages: 12 to 17

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-457-2

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016