Application of Text Mining Technology to Solve Project Management Problems

A. A. Vasiliev, A. V. Goryachev
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Abstract

This paper analyzes the possibilities of using text mining methods to solve project management problems. Text mining is an area of artificial intelligence. The use of text mining technology allows to find useful, previously unknown information in text arrays. Due to the fact that during the implementation of projects a lot of textual data is required, presented in a certain form (paper and electronic documents, letters, between project participants, etc.) and often unstructured, technical tools are needed that can process this information and extract useful knowledge from it that can help projects achieve their goals faster. The article includes the technology of text mining itself, the main approaches and methods that are currently used in this area. Things are impossible due to the fact that it is the use of text mining algorithms that can help in solving project management problems.
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文本挖掘技术在解决项目管理问题中的应用
本文分析了利用文本挖掘方法解决项目管理问题的可能性。文本挖掘是人工智能的一个领域。使用文本挖掘技术可以在文本数组中找到有用的、以前未知的信息。由于在项目实施过程中需要大量的文本数据,以一定的形式呈现(纸质和电子文档,信件,项目参与者之间等),并且通常是非结构化的,因此需要技术工具来处理这些信息并从中提取有用的知识,从而帮助项目更快地实现目标。本文介绍了文本挖掘技术本身,以及目前在该领域使用的主要方法和途径。事情是不可能的,因为使用文本挖掘算法可以帮助解决项目管理问题。
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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