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Text mining or analytics is important for various applications such as market analysis and biomedical purposes because it enables the efficient retrieval of information from large datasets. During the analysis, increasing the dimensionality of the data reduces the performance of an entire system because doing so may retrieve irrelevant text, which creates errors. Therefore, this paper introduces big...
Text categorization is a key problem of text mining. Although there are many research on this problem, the main works are focused on classification of big categories. There are very few researches on text categorization problems characterised by many redundant features. We call this kind of problem as fine-text-categorization. In this paper, we presented an algorithm based on modified CHI square feature...
Text categorization is a key issue of text mining. Although there are many studies on this problem, the majority of them are focused on classification of rough categories. In this kind of problem, there are obviously different features that can differentiate one category from others. Only very few researches concerned fine text categorization (FTC) problem which is characterized by many duplicated...
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