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Text classification plays an important role in information extraction and summarization, text retrieval, and question-answering. The discriminative multinomial naive Bayes classifier has been a focus of research in the field of text classification. This paper increases the accuracy of discriminative multinomial Bayesian classifier with the usage of the feature selection technique that evaluates the...
In multi-instance learning, the training set comprises labeled bags which are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, a text mining problem, i.e. text representation, is investigated from a multi-instance view. In detail, each text is regarded as a bag while each of its sentences is regarded as an instance. Bag can be labeled by its class...
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