The Journal of Machine Learning Research
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Splog detection using self-similarity analysis on blog temporal dynamics
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Blog search and mining in the business domain
Proceedings of the 2007 international workshop on Domain driven data mining
Machine learning techniques for business blog search and mining
Expert Systems with Applications: An International Journal
Combining named entities and tags for novel sentence detection
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Sentence-Level Novelty Detection in English and Malay
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Design and development of a mobile peer-to-peer social networking application
Expert Systems with Applications: An International Journal
Topic-link LDA: joint models of topic and author community
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A latent topic model for linked documents
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
OntoMobiLe: A Generic Ontology-Centric Service-Oriented Architecture for Mobile Learning
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Introduction to Mobile Information Retrieval
IEEE Intelligent Systems
Blended metrics for novel sentence mining
Expert Systems with Applications: An International Journal
Evaluation of novelty metrics for sentence-level novelty mining
Information Sciences: an International Journal
Detecting cyber security threats in weblogs using probabilistic models
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Probabilistic techniques for corporate blog mining
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Database optimization for novelty detection
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Detecting novel business blogs
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
An intelligent system for sentence retrieval and novelty mining
International Journal of Knowledge Engineering and Data Mining
Multilingual sentence categorization and novelty mining
Information Processing and Management: an International Journal
International Journal of Advanced Pervasive and Ubiquitous Computing
Adaptable Services for Novelty Mining
International Journal of Systems and Service-Oriented Engineering
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This paper proposes probabilistic models for social media mining based on the multiple attributes of social media content, bloggers, and links. The authors present a unique social media classification framework that computes the normalized document-topic matrix. After comparing the results for social media classification on real-world data, the authors find that the model outperforms the other techniques in terms of overall precision and recall. The results demonstrate that additional information contained in social media attributes can improve classification and retrieval results.