将文本挖掘改编为文本数据挖掘,类似于文本分析,用于从文本中获取高质量信息

Siddth Kumar Chhajer, Rudra Bhanu Satpathy
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引用次数: 0

摘要

本研究描述了商业组织的文本挖掘适应性。目前,文本挖掘可以帮助企业对海量的文本文档进行分析,并从中提取有价值的数据。本研究采用了二手定性数据收集方法,并从这些二手数据中进行专题分析,以寻找真实的结果。这个文本挖掘过程使用了几种类型的工具和技术,这些工具和技术可以帮助增加组织的能力。商业组织可以从这个文本挖掘过程中获得很多好处。关键词:文本挖掘,文本分析,自动化过程
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptation of Text Mining as Text Data Mining, Similar to Text Analytics for the Process of Driving High-Quality Information from Text
This research study describes the text mining adaptation of the business organization. In the present time, text mining helps the business organization to analyze the vast text document and extract valuable data from this text. This study has adopted the secondary qualitative data collection methods and from this secondary data, this study has conducted the thematic analysis to find the authentic result. This text mining process has used several types of tools and technologies that can help to increase the capacity of the organization. The business organization can get several benefits from this text mining process. Keyword : Text mining, Text analytics, automated process
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