An Adaptive Hierarchical Clustering Algorithm for Segmenting Sentence Level Text

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Provided by: International Journal of Computer & Organization Trends(IJCOT)
Topic: Data Management
Format: PDF
Text segmentation is designed to group documents with high levels of similarity. It has found applications in several fields of text mining and data retrieval. The digital data accessible now-a-days has steadily grown in tremendous volume and retrieving useful information from that is quite challenge. Text clustering has discovered an important usage to organize information and to extract useful information from the available corpus. In this proposed system, the authors have method for clustering the text documents. In the initial phase characteristics are chosen using a preprocessing based method.
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