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Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, NLP
(Joint)
2020-03-09
13:55
Aichi  
(Cancelled but technical report was issued)
Effect of Non-learned Words in Spam Mail Filtering
Kazuya Nakatani, Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2019-59
Machine learning mail filtering is usually performed based on words used for the learning.
This study evaluates the eff... [more]
MSS2019-59
pp.9-12
MSS, NLP
(Joint)
2020-03-09
17:25
Aichi  
(Cancelled but technical report was issued)
Feature Analysis of Strange Words for Spam Mail Filtering
Seiya Temma, Kazuya Nakatani, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2019-60
In this study, we discuss preparing processes of text for mail filtering, and improve the accuracy of the mail classific... [more] MSS2019-60
pp.13-18
NLP, MSS
(Joint)
2019-03-15
09:00
Fukui Bunkyo Camp., Univ. of Fukui Words co-occurrence-based mail filtering using Jaccard coefficient
Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ) MSS2018-92
The validity of mail filtering method with co-occurrence index of words has been shown experimentally. In this study, we... [more] MSS2018-92
pp.59-64
MSS, NLP
(Joint)
2018-03-13
09:15
Osaka   Searching attribute information for mail filtering based on text mining
Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2017-82
Many mail filters use the in function of words in the text. The purpose of this research is to develop a method of mail ... [more] MSS2017-82
pp.27-30
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