Implementation of Human Cognitive Bias on Naïve Bayes

Taniguchi, Hidetaka and Shirakawa, Tomohiro and Takahashi, Tatsuji (2016) Implementation of Human Cognitive Bias on Naïve Bayes. EAI Endorsed Transactions on Creative Technologies, 3 (7). e3. ISSN 2409-9708

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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.

Item Type: Article
Uncontrolled Keywords: naïve bayes, text classification, attribute independence assumption, cognition-inspired model, bayesian spam filtering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 07 Apr 2021 07:08
Last Modified: 07 Apr 2021 07:08
URI: https://eprints.eudl.eu/id/eprint/2173

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