SMS CLASSIFICATION: CONJOINT ANALYSIS OF MULTINOMIAL NAIVE BAYES APPLICATION
نویسندگان
چکیده
Nowadays there are ham and spam messages that sent to the users via SMS. The aim of this article is show how machine learning text processing technologies can be used in order predict trustworthiness SMS messages. data we going use collected from Kaggle. This study very important because it helps us understand message trustworthiness. At time writing article, was not an explaining done using Multinomial Naive Bayes algorithm. methodology consists dataset collection, cleaning, analysis, preparation, training model. will seen section great detail. end u accuracy have got when implementing a algorithm for classification quite beneficial anyone see usage
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ژورنال
عنوان ژورنال: International journal of advanced research
سال: 2021
ISSN: ['2707-7802', '2707-7810']
DOI: https://doi.org/10.21474/ijar01/13366