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Text Mining - Implementation of Extract Summarization in a Text Mining Application

机译:文本挖掘 - 文本挖掘应用中提取物概述的实施

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Discovering information from structured data has been evolving since quite some time in the form of data mining but discovering hidden knowledge from unstructured data (Text Mining), which is increasing more than ever globally, is currently in its infant stages. This research paper discusses in detail an implementation of Summarization implemented in our Text Mining application. We have implemented 'Extract Summarization'. The size of the summary varies depending on the compression rate specified. The candidate sentences are selected based on indicator phrases, thematic words, number of words and occurrence of nouns.
机译:从结构化数据中发现信息已经在数据挖掘形式的情况下已经不断发展,但发现来自非结构化数据(文本挖掘)的隐藏知识,这比全球更多地增加,目前处于其婴儿阶段。本研究论文详细讨论了在我们的文本挖掘申请中实施的总结。我们已经实施了“提取摘要”。摘要的大小因指定的压缩率而异。候选句子基于指示器短语,主题单词,单词数和名词的发生。

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