Joint NLP lab between HIT2 at CEAS spam-filter Challenge 2008

Haoliang Qi; Xiaoning He; Muyun Yang; Jun Li; Guohua Lei; Sheng Li

Joint NLP lab between HIT² at CEAS spam-filter Challenge 2008

Haoliang Qi
, Xiaoning He
, Muyun Yang
, Jun Li
, Guohua Lei
, Sheng Li

Faculty of Computing

Heilongjiang Institute of Technology
Harbin University of Science and Technology
Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

This paper reports our participation of CEAS Spam-filter Challenge 2008. The logistic regression model, n-gram and TONE (Train On /Near Error) were used to build the systems. We improved the weighting method which reduces the impact of the features appearing both in spam messages and ham messages. We achieved competitive results in all tasks and got the first in a subtask of Lab Evaluation Task.

Original language	English
State	Published - 2008
Event	5th Conference on Email and Anti-Spam, CEAS 2008 - Mountain View, CA, United States Duration: 21 Aug 2008 → 22 Aug 2008

Conference

Conference	5th Conference on Email and Anti-Spam, CEAS 2008
Country/Territory	United States
City	Mountain View, CA
Period	21/08/08 → 22/08/08

Cite this

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title = "Joint NLP lab between HIT2 at CEAS spam-filter Challenge 2008",

abstract = "This paper reports our participation of CEAS Spam-filter Challenge 2008. The logistic regression model, n-gram and TONE (Train On /Near Error) were used to build the systems. We improved the weighting method which reduces the impact of the features appearing both in spam messages and ham messages. We achieved competitive results in all tasks and got the first in a subtask of Lab Evaluation Task.",

author = "Haoliang Qi and Xiaoning He and Muyun Yang and Jun Li and Guohua Lei and Sheng Li",

year = "2008",

language = "英语",

note = "5th Conference on Email and Anti-Spam, CEAS 2008 ; Conference date: 21-08-2008 Through 22-08-2008",

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TY - CONF

T1 - Joint NLP lab between HIT2 at CEAS spam-filter Challenge 2008

AU - Qi, Haoliang

AU - He, Xiaoning

AU - Yang, Muyun

AU - Li, Jun

AU - Lei, Guohua

AU - Li, Sheng

PY - 2008

Y1 - 2008

N2 - This paper reports our participation of CEAS Spam-filter Challenge 2008. The logistic regression model, n-gram and TONE (Train On /Near Error) were used to build the systems. We improved the weighting method which reduces the impact of the features appearing both in spam messages and ham messages. We achieved competitive results in all tasks and got the first in a subtask of Lab Evaluation Task.

AB - This paper reports our participation of CEAS Spam-filter Challenge 2008. The logistic regression model, n-gram and TONE (Train On /Near Error) were used to build the systems. We improved the weighting method which reduces the impact of the features appearing both in spam messages and ham messages. We achieved competitive results in all tasks and got the first in a subtask of Lab Evaluation Task.

UR - https://www.scopus.com/pages/publications/84904793089

M3 - 论文

AN - SCOPUS:84904793089

T2 - 5th Conference on Email and Anti-Spam, CEAS 2008

Y2 - 21 August 2008 through 22 August 2008

ER -

Joint NLP lab between HIT² at CEAS spam-filter Challenge 2008

Abstract

Conference

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