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In recent years, data mining applications have been found quite extendible in the area of social science like mass communication and religion studies. In traditional approach used for such work, hidden semantics between documents were not considered well. In this paper, the authors have shown that text mining can be applied to classify social figures like politician, religious leaders. Such classification is based on text mining of speeches delivered by social figures. These social figures are famed personalities and their speeches are collected from their official websites. Their text classification is based on tf.idf followed by cosine and Jaccard Similarity.
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