Comparison of text mining tools

Arvinder Kaur, Deepti Chopra
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引用次数: 31

Abstract

Most of the data is in the form of text these days. While databases store only structured data, most of the data is unstructured like text documents, web pages, emails etc. Text mining is what is required if useful information needs to be extracted from tons of text. But where to begin, what are the popular tools, which techniques are used, what are the features. Beginning is always the toughest, so this paper tries to explore the tools available for text mining to help new researchers and practitioners in the field of text mining.
文本挖掘工具的比较
如今,大多数数据都是以文本的形式出现的。虽然数据库只存储结构化数据,但大多数数据是非结构化的,如文本文档、网页、电子邮件等。如果需要从大量文本中提取有用的信息,则需要文本挖掘。但是从哪里开始,流行的工具是什么,使用了哪些技术,有哪些特性。开头总是最难的,因此本文试图探索可用的文本挖掘工具,以帮助文本挖掘领域的新研究者和从业者。
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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