文章基本信息

标题：Multi-lingual sentiment analysis of financial news streams
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作者：K. Ahmad ; D. Cheng ; Y. Almas 等
期刊名称：PoS - Proceedings of Science
印刷版ISSN：1824-8039
出版年度：2006
出版社：SISSA, Scuola Internazionale Superiore di Studi Avanzati
摘要：Encouraged by the feasibility demonstration that a relatively low-cost grid environment can speed up the processing of continuous text streams of financial news in English, we have attempted to replicate our methods for automatic sentiment analysis in two major languages of the world – Arabic and Chinese. We show that our local grammar approach, developed on an archive of English (Indo-European language) texts, works equally on the typologically different Chinese (Sino-Asiatic) and Arabic (Semitic) languages.