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Language Identification Using Multinomial Naive Bayes . . . Language detection is a significant effort in natural language processing (NLP) and has various applications such as machine translation, text summarization, and sentiment analysis In this paper, we propose using a Multinomial Naive Bayes (MNB) algorithm for the task of language detection
Structure extended multinomial naive Bayes - ScienceDirect We propose structure extended multinomial naive Bayes (SEMNB) SEMNB averages all of the weighted one-dependence multinomial estimators The experimental results validate its effectiveness
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naive_bayes. MultinomialNB() - Scikit-learn - W3cubDocs The multinomial Naive Bayes classifier is suitable for classification with discrete features (e g , word counts for text classification) The multinomial distribution normally requires integer feature counts However, in practice, fractional counts such as tf-idf may also work Read more in the User Guide