Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
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
Generating summary keywords for emails using topics
Proceedings of the 13th international conference on Intelligent user interfaces
Discovering voter preferences in blogs using mixtures of topic models
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Cross-cultural analysis of blogs and forums with mixed-collection topic models
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Unsupervised modeling of Twitter conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A latent dirichlet allocation method for selectional preferences
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Improved video categorization from text metadata and user comments
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
What pushes their buttons?: predicting comment polarity from the content of political blog posts
LSM '11 Proceedings of the Workshop on Languages in Social Media
Pervasive sensing to model political opinions in face-to-face networks
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Attention prediction on social media brand pages
Proceedings of the 20th ACM international conference on Information and knowledge management
Mining contrastive opinions on political texts using cross-perspective topic model
Proceedings of the fifth ACM international conference on Web search and data mining
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Blogs as a collective war diary
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Who will be participating next?: predicting the participation of Dark Web community
Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
Predicting responses to microblog posts
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
The potential dangers of causal consistency and an explicit solution
Proceedings of the Third ACM Symposium on Cloud Computing
LogUCB: an explore-exploit algorithm for comments recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting User-to-content Links in Flickr Groups
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Going beyond Corr-LDA for detecting specific comments on news & blogs
Proceedings of the 7th ACM international conference on Web search and data mining
Keyword extraction for blogs based on content richness
Journal of Information Science
Twitter n-gram corpus with demographic metadata
Language Resources and Evaluation
| Hi-index | 0.00 |
In this paper we model discussions in online political blogs. To do this, we extend Latent Dirichlet Allocation (Blei et al., 2003), in various ways to capture different characteristics of the data. Our models jointly describe the generation of the primary documents (posts) as well as the authorship and, optionally, the contents of the blog community's verbal reactions to each post (comments). We evaluate our model on a novel comment prediction task where the models are used to predict which blog users will leave comments on a given post. We also provide a qualitative discussion about what the models discover.