Sensitivity-Proof Content Advertising Based on Two-Stage Text Classification

Author

Peng, Ge ; Liu, Sipei ; Wang, Jin

Author_Institution

Samsung Electron. (China) R&D Center, Nanjing, China

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

Sensitive information, e.g. sex-related, violate news, hinders a lot to content advertising, especially for mobile environment. This paper presents a sensitivity-proof content advertising method by utilizing two-stage text classification. The two stages are advertisement (Ad) classification and sensitivity detection in sequence. A policy is established to combine the results of the two stages for advertisement selection and recommendation. The paper also presents some creative feature extraction and selection methods to promote classification performance. From the experiment results, we believe that these methods will be of great value to the Ad application in Samsung Electronics´ next generation mobile products.

Keywords

advertising; content management; feature extraction; mobile computing; pattern classification; text analysis; Samsung Electronics next generation mobile product; feature extraction; feature selection method; mobile environment; sensitivity proof content advertising; two stage text classification; Advertising; Feature extraction; Mobile communication; Sensitivity; Support vector machines; Text categorization; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5391-7

Electronic_ISBN

978-1-4244-5392-4

Type

conf

DOI

10.1109/CISE.2010.5677269

Filename

5677269