A Web-based advertising content analysis platform

Author

Dou, Rupeng ; Wu, Junfeng ; Zhang, Shuwu ; Liang, Wei

Author_Institution

Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China

Volume

2

fYear

2010

fDate

9-10 Oct. 2010

Firstpage

72

Lastpage

75

Abstract

With the booming of online economy, more and more advertisements appear on the network, meanwhile many illegal advertisements emerge. To detect the advertisements automatically, a Web-based advertising content analysis platform is proposed in this paper. This platform consists of the following three parts: web information extraction, advertiser´s named entity identification and advertiser´s industry identification. The experiments show the effectiveness of the proposed methods.

Keywords

Internet; advertising; content-based retrieval; information retrieval; Web information extraction; Web-based advertising content analysis platform; advertiser industry identification; entity identification; illegal advertisement; online economy; Biomedical optical imaging; Educational institutions; Optical fiber communication; Optical sensors; Advertiser´s industry identification; Advertiser´s named entity identification; Support Vector Machines; Web information extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Information Technology and Management Engineering (FITME), 2010 International Conference on

Conference_Location

Changzhou

Print_ISBN

978-1-4244-9087-5

Type

conf

DOI

10.1109/FITME.2010.5654891

Filename

5654891