Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

20

WAIM
2010
Springer

favoriteEmaildiscussreport

224views Information Technology» more WAIM 2010»

Detecting Comment Spam through Content Analysis

13 years 2 months ago

Detecting Comment Spam through Content Analysis

Download www.cis.pku.edu.cn

In the Web 2.0 eras, the individual Internet users can also act as information providers, releasing information or making comments conveniently. However, some participants may spread irresponsible remarks or express irrelevant comments for commercial interests. This kind of socalled comment spam severely hurts the information quality. This paper tries to automatically detect comment spam through content analysis, using some previously-undescribed features. Experiments on a real data set show that our combined heuristics can correctly identify comment

Congrui Huang, Qiancheng Jiang, Yan Zhang

Real-time Traffic

Comment Spam | Information Technology | Socalled Comment Spam | WAIM 2010 | Web 2.0 Eras |

claim paper

Related Content

» Detecting spam web pages through content analysis

» Mining User Comment Activity for Detecting Forum Spammers in YouTube

» Web spam identification through content and hyperlinks

» Blocking Blog Spam with Language Model Disagreement

» Image Spam Filtering by Content Obscuring Detection

» Improving web spam detection with reextracted features

» Email archive analysis through graphical visualization

» Content based SMS spam filtering

» Exploring linguistic features for web spam detection a preliminary study

Post Info
More Details (n/a)

Added	31 Jan 2011
Updated	31 Jan 2011
Type	Journal
Year	2010
Where	WAIM
Authors	Congrui Huang, Qiancheng Jiang, Yan Zhang

Comments (0)