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The demand of text classification is growing significantly in web searching, data mining, web ranking, recommendation systems and so many other fields of information and technology. This paper illustrates the text classification process on different dataset using some standard supervised machine learning techniques. Text documents can be classified through various kinds of classifiers. Labeled text...
In modern society, some famous news websites such as Sina and Times server to provide information every day for millions of users. But with the continuous development of information technology, the amount of disorder data is increasing. How to organize the text and make automatically text classification has become a challenge. The traditional manual classification of news text not only consumes a...
This paper introduces two fuzzy fingerprint based text classification techniques that were successfully applied to automatically label companies from CrunchBase, based purely on their unstructured textual description. This is a real and very challenging problem due to the large set of possible labels (more than 40) and also to the fact that the textual descriptions do not have to abide by any criteria...
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