An Optimal Unsupervised Text Data Segmentation Using Genetic Algorithm

Provided by: prjpublication
Topic: Big Data
Format: PDF
The popularity of information available in electronic forms has been rapidly growing in the last decade, and turn into a golden mount containing extremely unstructured data for the researchers. Extracting interesting information and knowledge from such data creates promising future path into the era of text mining. The roots of text mining lie in most related research areas clustering, classification, information retrieval, machine learning and soft computing paradigms. Among all, clustering is an unsupervised methodology having the ability to form meaningful natural groups of objects from given unlabeled data.

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