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Construction of Keyword Extraction using Statistical Approaches and Document Clustering by Agglomerative method

机译:统计方法和关键词聚类的凝聚方法构建关键词提取

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Organize continuing growth of dynamic unstructured documents is the major challenge to the field experts. Handling of such unorganized documents causes more expensive. Clustering of such dynamic documents helps to reduce the cost. Document clustering by analysing the keywords of the documents is one the best method to organize the unstructured dynamic documents. Statistical analysis is the best adaptive method to extract the keywords from the documents. In this paper an algorithm was proposed to cluster the documents. It has two parts, first part extracts the keywords using statistical method and the second part construct the clusters by keyword using agglomerative method. This proposed algorithm gives more than 90% of accuracy.
机译:组织动态非结构化文档的持续增长是现场专家面临的主要挑战。处理此类无组织的文档会导致成本更高。此类动态文档的聚类有助于降低成本。通过分析文档的关键字进行文档聚类是组织非结构化动态文档的最佳方法之一。统计分析是从文档中提取关键字的最佳自适应方法。本文提出了一种对文档进行聚类的算法。它包括两个部分,第一部分使用统计方法提取关键字,第二部分使用聚集方法通过关键字构造聚类。提出的算法可提供90%以上的精度。

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