Using Naive Bayes Method to Classify Text-based Email

被引：0

作者：

Kang, LanLan ^{[1
]}

Chen, Ruey-Shun ^{[2
]}

Chen, Yeh-Cheng ^{[3
]}

Cao, WenLiang ^{[2
]}

机构：

[1] Jiangxi Univ Sci & Technol, Sch Appl Sci, Ganzhou, Peoples R China

[2] Dongguan Polytech, Dept Comp Engn, Dongguan, Peoples R China

[3] Univ Calif Davis, Dept Comp Sci, Davis, CA 95616 USA

来源：

2018 9TH INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

Naive Bayes; Classifier; E-mail Classification; Filtering System;

D O I：

10.1109/PAAP.2018.00023

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The World Talk Corporation estimates that over 60 million business people use e-mail. Many more use e-mail purely on a personal basis and the pool of e-mail users is growing daily. And yet, automated techniques for learning to filter e-mail have yet to significantly affect the e-mail market. Here, I attack problems that plague practical e-mail filtering and suggest solutions that will bring us closer to the acceptance of using automated classification techniques to filter personal e-mail. I also present a filtering system, BETSY, that is both effective and efficient, and which has been adapted to a popular e-mail client. Results are presented from a number of experiments and show that a system such as BETSY could become a useful and valuable part of any e-mail client.

引用

页码：94 / 98

页数：5

共 50 条

[31] An Improvement to Naive Bayes for Text Classification
Zhang, Wei
Gao, Feng
CEIS 2011, 2011, 15
[32] A Chinese text classification system based on Naive Bayes algorithm
Cui, Wei
2016 INTERNATIONAL CONFERENCE ON ELECTRONIC, INFORMATION AND COMPUTER ENGINEERING, 2016, 44
[33] Text Sentiment Analysis Based on Improved Naive Bayes Algorithm
Li, Xinfei
Xie, Xiaolan
Wang, Jiaming
Tang, Yigang
ARTIFICIAL INTELLIGENCE AND SECURITY, ICAIS 2022, PT I, 2022, 13338 : 513 - 523
[34] A Text Mining Application of Emotion Classifications of Twitter's Users Using Naive Bayes Method
Wikarsa, Liza
Thahir, Sherly Novianti
PROCEEDING OF 2015 1ST INTERNATIONAL CONFERENCE ON WIRELESS AND TELEMATICS (ICWT), 2015,
[35] A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms
Hong, Yinghan
Mai, Guizhen
Zeng, Hui
Guo, Cai
WEB TECHNOLOGIES AND APPLICATIONS, APWEB 2015 WORKSHOPS, 2015, 9461 : 3 - 14
[36] Email Spam Detection using integrated approach of Naive Bayes and Particle Swarm Optimization
Agarwal, Kriti
Kumar, Tarun
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 685 - 690
[37] Naive Bayes Text Classification with Positive Features Selected by Statistical Method
Meena, M. Janaki
Chandran, K. R.
FIRST INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING 2009 (ICAC 2009), 2009, : 28 - +
[38] A Comparative Approach to Email Classification Using Naive Bayes Classifier and Hidden Markov Model
Gomes, Sebastian Romv
Saroar, Sk Golam
Telot, Md Mosfaiul Alam
Khan, Behroz Newaz
Chakrabarty, Amitabha
Mostakim, Moin
2017 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2017, : 482 - 487
[39] An Approach to Classify Eligibility Blood Donors Using Decision Tree and Naive Bayes Classifier
Zulfikar, W. B.
Gerhana, Y. A.
Rahmania, A. F.
2018 6TH INTERNATIONAL CONFERENCE ON CYBER AND IT SERVICE MANAGEMENT (CITSM), 2018, : 563 - 567
[40] A hybrid method for text-based sentiment analysis
Thanh Le
2019 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2019), 2019, : 1392 - 1397

← 1 2 3 4 5 →