Applying Semantic Technology to Business News Analysis

Abstract

& This article addresses business news analysis by using artificial intelligence. An interdisciplinary method combining financial textual data mining and ontology-based reasoning is proposed and evaluated. The experiments are performed using a well-known Cyc ontology and textual material from the financial domain. Our experiments show that using semantic technologies for business news analysis helps to provide the user with more relevant answers to his=her queries.

The co-production of business news and its effects: The corporate framing mediated-moderation model

“…Overall, an analysis of more than 100 million news articles on corporations shows that companies that are covered in the news will remain in the news (Mizuno, Takei, Ohnishi, & Watanabe, 2012), that media representations of businesses appear to follow a complex system (Murphy, 2010) and that media follow the cognitive structures of strategic business networks in reports on businesses and when construing media reputations in the US (Wry, Deephouse, & McNamara, 2006). An aberrant study that adopted an economic view of business news showed that news coverage can predict company network revenues (Novalija & Mladenić, 2013).…”