用于预测的商业新闻文本挖掘

17th International Workshop on Database and Expert Systems Applications (DEXA'06) Pub Date : 2006-09-04 DOI:10.1109/DEXA.2006.135

P. Kroha, Ricardo Baeza-Yates, Björn Krellner

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引用次数: 22

摘要

在本文中，我们分析了商业新闻内容与长期市场趋势之间的关系。我们描述了商业新闻的清理和分类，我们调查了好消息和坏消息有多少相似之处，以及它们的比例在长期市场趋势下的表现。从1999年到2005年，我们共处理了40多万条商业新闻。我们介绍了我们的实验结果及其对长期市场趋势预测的可能影响

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Text Mining of Business News for Forecasting

In this paper, we analyze the relation between the content of business news and long-term market trends. We describe cleansing and classification of business news, we investigate how much similarity good news and bad news have, and how their ratio behaves in context of long-terms market trends. We have processed more than 400 thousand business news coming from the years 1999 to 2005. We present results of our experiments and their possible impact on forecasting of long-term market trends

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来源期刊

17th International Workshop on Database and Expert Systems Applications (DEXA'06)

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