Implementation of Human Cognitive Bias on Naïve Bayes

Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2016, Vol 3, Issue 7

Abstract

We propose a human-cognition inspired classification model based on Naïve Bayes. Our previous study showed that human-cognitively inspired heuristics is able to enhance the prediction accuracy of text classifier based on Naïve Bayes. In the study, our classification model showed higher performance than conventional Naïve Bayes under specific conditions. In this paper, to investigate the mechanism that realizes the higher performance of classification, we further tested our model and its modified variant. As a result, our two models showed slightly different behaviors, but both of them achieved higher performance than conventional Naïve Bayes.

Authors and Affiliations

Hidetaka Taniguchi, Tomohiro Shirakawa, Tatsuji Takahashi

Keywords

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  • EP ID EP45850
  • DOI http://dx.doi.org/10.4108/eai.3-12-2015.2262494
  • Views 306
  • Downloads 0

How To Cite

Hidetaka Taniguchi, Tomohiro Shirakawa, Tatsuji Takahashi (2016). Implementation of Human Cognitive Bias on Naïve Bayes. EAI Endorsed Transactions on Creative Technologies, 3(7), -. https://europub.co.uk/articles/-A-45850