Application of Human Cognitive Mechanisms to Naïve Bayes Text Classifier.

Machine learning is a widely researched topic, and its use is rapidly becoming widespread. In most cases, however, machine learning algorithms require considerable time and large quantities of sample data, and its implementation requires much effort. In contrast, human scan generalize concepts from only 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, thereby achieving better performance in comparison with other representative machine learning models. [ABSTRACT FROM AUTHOR]