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2015 | OriginalPaper | Buchkapitel

Event Detection from Business News

verfasst von : Ishan Verma, Lipika Dey, Ramakrishnan S. Srinivasan, Lokendra Singh

Erschienen in: Pattern Recognition and Machine Intelligence

Verlag: Springer International Publishing

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Abstract

An event is usually defined as a specific happening associated with a particular location and time. Though there has been a lot of focus on detecting events from political and other general News articles, there has not been much work on detecting Business-critical events from Business News. The major difference of business events from other events is that business events are often announcements that may refer to future happenings rather than happenings that have already occurred. In this paper, we propose a method to identify business-critical events within News text and classify them into pre-defined categories using a k-NN method. We also present an event-based retrieval mechanism for business News collections.

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Titel: Event Detection from Business News
verfasst von: Ishan Verma
Lipika Dey
Ramakrishnan S. Srinivasan
Lokendra Singh
Verlag: Springer International Publishing
Buch: Pattern Recognition and Machine Intelligence
Print ISBN: 978-3-319-19940-5

Electronic ISBN: 978-3-319-19941-2

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19941-2_55

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