Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
PEBL: Web Page Classification without Negative Examples
IEEE Transactions on Knowledge and Data Engineering
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applying Authorship Analysis to Extremist-Group Web Forum Messages
IEEE Intelligent Systems
Text Classification without Negative Examples Revisit
IEEE Transactions on Knowledge and Data Engineering
Web-based text classification in the absence of manually labeled training documents
Journal of the American Society for Information Science and Technology
Guest Editors' Introduction: Social Media and Search
IEEE Internet Computing
AISIID: An artificial immune system for interesting information discovery on the web
Applied Soft Computing
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Affect Analysis of Web Forums and Blogs Using Correlation Ensembles
IEEE Transactions on Knowledge and Data Engineering
Introduction to Semi-Supervised Learning
Introduction to Semi-Supervised Learning
Text-based video content classification for online video-sharing sites
Journal of the American Society for Information Science and Technology
A new approach for semi-supervised online news classification
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Applying authorship analysis to arabic web content
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Revisiting the Foundations of Artificial Immune Systems for Data Mining
IEEE Transactions on Evolutionary Computation
Affect analysis of text using fuzzy semantic typing
IEEE Transactions on Fuzzy Systems
A method of feature selection and sentiment similarity for Chinese micro-blogs
Journal of Information Science
Hi-index | 0.00 |
Social media is frequently used as a platform for the exchange of information and opinions as well as propaganda dissemination. But online content can be misused for the distribution of illicit information, such as violent postings in web forums. Illicit content is highly distributed in social media, while non-illicit content is unspecific and topically diverse. It is costly and time consuming to label a large amount of illicit content (positive examples) and non-illicit content (negative examples) to train classification systems. Nevertheless, it is relatively easy to obtain large volumes of unlabeled content in social media. In this article, an artificial immune system-based technique is presented to address the difficulties in the illicit content identification in social media. Inspired by the positive selection principle in the immune system, we designed a novel labeling heuristic based on partially supervised learning to extract high-quality positive and negative examples from unlabeled datasets. The empirical evaluation results from two large hate group web forums suggest that our proposed approach generally outperforms the benchmark techniques and exhibits more stable performance. © 2012 Wiley Periodicals, Inc.