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Text mining: Finding right documents from large collection of unstructured documents

机译:文本挖掘:从大量非结构化文档中查找正确的文档

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摘要

In our day to day life we come across unstructured data in many forms. These include books journals, audio / video files and unstructured text such as emails, web pages and documents. And these data can be a vital source in order to make informed decisions. For example in any company there is a set of people who can be identified as the paramount from among its workforce. Identifying what is common among them and identifying others like them would undoubtedly improve the output of the company. This is the basis on which this research was carried out. The central aspect of the research was to use text mining techniques to mine the data in a set of documents and identify what are the common characteristics among them and then to identify other documents which contains these characteristics.
机译:在我们的日常生活中,我们会遇到多种形式的非结构化数据。这些包括书籍日记,音频/视频文件和非结构化文本,例如电子邮件,网页和文档。这些数据可以成为做出明智决策的重要来源。例如,在任何公司中,都有一组可以被视为其员工中最重要的人。确定他们之间的共同点并确定其他类似的人无疑会提高公司的产出。这是进行这项研究的基础。该研究的中心方面是使用文本挖掘技术来挖掘一组文档中的数据,并识别它们之间的共同特征,然后识别包含这些特征的其他文档。

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