Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Hierarchical document categorization with support vector machines
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Support vector machines classification with a very large-scale taxonomy
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
Reducing the human overhead in text categorization
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining and audience intelligence for advertising
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Learning from multi-topic web documents for contextual advertisement
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
To swing or not to swing: learning when (not) to advertise
Proceedings of the 17th ACM conference on Information and knowledge management
Search advertising using web relevance feedback
Proceedings of the 17th ACM conference on Information and knowledge management
A survey of contextual advertising
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Advertising keywords extraction from web pages
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Data-driven multi-touch attribution models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Computing Semantic Relatedness Based on Search Result Analysis
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Web objectionable text content detection using topic modeling technique
Expert Systems with Applications: An International Journal
Semantic contextual advertising based on the open directory project
ACM Transactions on the Web (TWEB)
Sentiment analysis in Facebook and its application to e-learning
Computers in Human Behavior
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Online advertising has been a popular topic in recent years. In this paper, we address one of the important problems in online advertising, i.e., how to detect whether a publisher webpage contains sensitive content and is appropriate for showing advertisement(s) on it. We take a webpage classification approach to solve this problem. First we design a unique sensitive content taxonomy. Then we adopt an iterative training data collection and classifier building approach, to build a hierarchical classifier which can classify webpages into one of the nodes in the sensitive content taxonomy. The experimental result show that using this approach, we are able to build a unique sensitive content classifier with decent accuracy while only requiring limited amount of human labeling effort.