Application of Human Cognitive Mechanisms to Naive Bayes Text Classifier

Machine learning is a widely researched topic, and its use is rapidly becoming widespreadin most cases, however,machine learning algorithms require considerable time andlarge quantities of sample data, and its implementationrequires much effort. In contrast, humanscan generalize conceptsfromonly a small number of examples. Some researchers are attempting to implement this ability into machine learning models. In this paper, we develop two machine learning models based on human cognitive biases, therebyachievingbetter performance in comparison withother representativemachine learning models.