Spam, damn spam, and statistics: using statistical analysis to locate spam web pages
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Behavior-based email analysis with application to spam detection
Behavior-based email analysis with application to spam detection
Increasing web accessibility by automatically judging alternative text quality
Proceedings of the 12th international conference on Intelligent user interfaces
A language independent method for question classification
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A Novel Web Page Filtering System by Combining Texts and Images
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Macroscopic characterisations of Web accessibility
The New Review of Hypermedia and Multimedia - Web Accessibility
A solution to the exact match on rare item searches: introducing the lost sheep algorithm
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
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For people who cannot see non-textual web content, such as images, maps or audio files, the alternative texts are crucial to understand and use the content. Alternate texts are often automatically generated by web publishing software or not properly provided by the author of the content. Such texts may impose web accessibility barriers. Automatic accessibility checkers in use today can only detect the presence of alternative texts, but not determine if the text is describing the corresponding content in any useful way. This paper presents a pattern recognition approach for automatic detection of alternative texts that may impose a barrier, reaching an accuracy of more then 90%.