Abstract
Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (how it is written). In this paper, as a preliminary step, we investigate the utility of commonly used stylistic features based on shallow linguistic analysis for learning mobile spam filters. Experimental results show that the use of stylistic information is potentially effective for enhancing the performance of the mobile spam filters.
| Original language | English |
|---|---|
| Title of host publication | ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. |
| Pages | 321-324 |
| Number of pages | 4 |
| Publication status | Published - 2009 Dec 1 |
| Event | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore Duration: 2009 Aug 2 → 2009 Aug 7 |
Other
| Other | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 |
|---|---|
| Country | Singapore |
| City | Suntec |
| Period | 09/8/2 → 09/8/7 |
Fingerprint
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
Cite this
The contribution of stylistic information to content-based mobile spam filtering. / Sohn, Dae Neung; Lee, Jung Tae; Rim, Hae-Chang.
ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. 2009. p. 321-324.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The contribution of stylistic information to content-based mobile spam filtering
AU - Sohn, Dae Neung
AU - Lee, Jung Tae
AU - Rim, Hae-Chang
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (how it is written). In this paper, as a preliminary step, we investigate the utility of commonly used stylistic features based on shallow linguistic analysis for learning mobile spam filters. Experimental results show that the use of stylistic information is potentially effective for enhancing the performance of the mobile spam filters.
AB - Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (how it is written). In this paper, as a preliminary step, we investigate the utility of commonly used stylistic features based on shallow linguistic analysis for learning mobile spam filters. Experimental results show that the use of stylistic information is potentially effective for enhancing the performance of the mobile spam filters.
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UR - http://www.scopus.com/inward/citedby.url?scp=84856205971&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84856205971
SN - 9781617382581
SP - 321
EP - 324
BT - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
ER -