文本挖掘用于技术监控

IEEE International Engineering Management Conference Pub Date : 2002-12-10 DOI:10.1109/IEMC.2002.1038503

T. Teichert, Marc-André Mittermayer

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引用次数: 40

摘要

相当一部分科学技术知识是用文字编码的。在这种情况下，自动文本分类可以被视为一种有前途的工具，特别是对于专利数据分析。在一个现实生活中的例子中，我们展示了自动文本分类与专家耗时的分类工作非常相似。通过比较不同的算法，我们揭示了其结果的系统差异，并显示了进一步改进的潜力。

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Text mining for technology monitoring

A considerable part of scientific and technological knowledge is coded in writing. In this context, automated text categorization can be regarded as a promising tool particularly for patent data analysis. In a real-life example, we show that automated text categorization can closely resemble the time-consuming categorisation job of an expert. By comparing different algorithms we reveal systematic differences in their results and show potential for further improvement.

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IEEE International Engineering Management Conference

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