Bursty and hierarchical structure in streams
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The Journal of Machine Learning Research
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Modeling and predicting personal information dissemination behavior
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Modeling word burstiness using the Dirichlet distribution
ICML '05 Proceedings of the 22nd international conference on Machine learning
Group and topic discovery from relations and text
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ICML '06 Proceedings of the 23rd international conference on Machine learning
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Continuous time bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
POLESTAR: collaborative knowledge management and sensemaking tools for intelligence analysts
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Efficient topic-based unsupervised name disambiguation
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Structural and temporal analysis of the blogosphere through community factorization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Time-dependent event hierarchy construction
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting research topics via the correlation between graphs and texts
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic labeling of multinomial topic models
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Generalized component analysis for text with heterogeneous attributes
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining geographic knowledge using location aware topic model
Proceedings of the 4th ACM workshop on Geographical information retrieval
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Application of kalman filters to identify unexpected change in blogs
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Probabilistic latent semantic visualization: topic model for visualizing documents
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A bayesian mixture model with linear regression mixing proportions
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Anticipating annotations and emerging trends in biomedical literature
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Incorporating topic transition in topic detection and tracking algorithms
Expert Systems with Applications: An International Journal
Tapping on the potential of q&a community by recommending answer providers
Proceedings of the 17th ACM conference on Information and knowledge management
Finding cohesive clusters for analyzing knowledge communities
Knowledge and Information Systems
Mining common topics from multiple asynchronous text streams
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A sentence level probabilistic model for evolutionary theme pattern mining from news corpora
Proceedings of the 2009 ACM symposium on Applied Computing
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Studying the history of ideas using topic models
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Identifying the Original Contribution of a Document via Language Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Topic Significance Ranking of LDA Generative Models
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Conference Mining via Generalized Topic Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Dynamic mixture models for multiple time series
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
STORIES in Time: A Graph-Based Interface for News Tracking and Discovery
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Dynamic hyperparameter optimization for bayesian topical trend analysis
Proceedings of the 18th ACM conference on Information and knowledge management
What's behind topic formation and development: a perspective of community core groups
Proceedings of the 18th ACM conference on Information and knowledge management
Topic tracking model for analyzing consumer purchase behavior
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Injecting Structured Data to Generative Topic Model in Enterprise Settings
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
GeoFolk: latent spatial semantics in web 2.0 social media
Proceedings of the third ACM international conference on Web search and data mining
Analyzing knowledge communities using foreground and background clusters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Understanding research field evolving and trend with dynamic Bayesian networks
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Joint group and topic discovery from relations and text
ICML'06 Proceedings of the 2006 conference on Statistical network analysis
Proceedings of the 19th international conference on World wide web
Understanding topic influence based on module network
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Tracking topic evolution in on-line postings: 2006 IBM innovation Jam data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Discovery of latent subcommunities in a blog's readership
ACM Transactions on the Web (TWEB)
The flow of on-line information in global networks
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Temporal expert finding through generalized time topic modeling
Knowledge-Based Systems
Modeling the evolution of associated data
Data & Knowledge Engineering
Discovery of significant emerging trends
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
TIARA: a visual exploratory text analytic system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Online multiscale dynamic topic models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Evaluating models of latent document semantics in the presence of OCR errors
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Latent interest-topic model: finding the causal relationships behind dyadic data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Modeling and analysis of dynamic behaviors of web image collections
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Trend analysis model: trend consists of temporal words, topics, and timestamps
Proceedings of the fourth ACM international conference on Web search and data mining
Best topic word selection for topic labelling
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Geographical topic discovery and comparison
Proceedings of the 20th international conference on World wide web
The web of topics: discovering the topology of topic evolution in a corpus
Proceedings of the 20th international conference on World wide web
Unified analysis of streaming news
Proceedings of the 20th international conference on World wide web
Following the social media: aspect evolution of online discussion
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Topic chains for understanding a news corpus
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Quantifying sentiment and influence in blogspaces
Proceedings of the First Workshop on Social Media Analytics
Discovering market trends in the biotechnology industry
International Journal of Business Intelligence and Data Mining
Modeling the evolution of topics in source code histories
Proceedings of the 8th Working Conference on Mining Software Repositories
ATTention: understanding authors and topics in context of temporal evolution
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Automatic labelling of topic models
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Ranking related news predictions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Tracking trends: incorporating term volume into temporal topic models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A time-dependent topic model for multiple text streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Locally discriminative topic modeling
Pattern Recognition
Topic sentiment change analysis
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
SCENT: Scalable compressed monitoring of evolving multirelational social networks
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
DTTM: a discriminative temporal topic model for facial expression recognition
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Dynamically Modeling Semantic Dependencies in Web Forum Threads
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Summarizing web forum threads based on a latent topic propagation process
Proceedings of the 20th ACM international conference on Information and knowledge management
Studying how the past is remembered: towards computational history through large scale text mining
Proceedings of the 20th ACM international conference on Information and knowledge management
Supervised language modeling for temporal resolution of texts
Proceedings of the 20th ACM international conference on Information and knowledge management
Understanding semantic change of words over centuries
Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web
Discovering multirelational structure in social media streams
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Sequential Modeling of Topic Dynamics with Multiple Timescales
ACM Transactions on Knowledge Discovery from Data (TKDD)
Using time topic modeling for semantics-based dynamic research interest finding
Knowledge-Based Systems
Predicting a scientific community's response to an article
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Modeling topical trends over continuous time with priors
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Towards automatic detection and tracking of topic change
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Integer linear programming for Constrained Multi-Aspect Committee Review Assignment
Information Processing and Management: an International Journal
Discovering global and local bursts in a stream of news
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Improving topic evaluation using conceptual knowledge
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Generative Models for Evolutionary Clustering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Group topic modeling for academic knowledge discovery
Applied Intelligence
Latent Geospatial Semantics of Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
TM-LDA: efficient online modeling of latent topic transitions in social media
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast mining and forecasting of complex time-stamped events
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Web image prediction using multivariate point processes
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A topic model of clinical reports
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Multiple location profiling for users and relationships from social network and content
Proceedings of the VLDB Endowment
Modeling topic trends on the social web using temporal signatures
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ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Finding bursty topics from microblogs
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Word epoch disambiguation: finding how words change over time
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Comparing clustering algorithms and their influence on the evolution of labeled clusters
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
TUT: a statistical model for detecting trends, topics and user interests in social media
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Joint relevance and answer quality learning for question routing in community QA
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Automatic labeling hierarchical topics
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InCaToMi: integrative causal topic miner between textual and non-textual time series data
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Pervasive and Mobile Computing
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling
ACM Transactions on Information Systems (TOIS)
Topic model for analyzing purchase data with price information
Data Mining and Knowledge Discovery
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Optimizing temporal topic segmentation for intelligent text visualization
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An n-gram topic model for time-stamped documents
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Emerging topic detection for organizations from microblogs
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Mining web search topics with diverse spatiotemporal patterns
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One theme in all views: modeling consensus topics in multiple contexts
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Understanding evolution of research themes: a probabilistic generative model for citations
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A biterm topic model for short texts
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TopicFlow: visualizing topic alignment of Twitter data over time
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Dynamic multi-faceted topic discovery in twitter
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining causal topics in text data: iterative topic modeling with time series feedback
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
ATT: analyzing temporal dynamics of topics and authors in social media
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Dynamic joint sentiment-topic model
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A Graph Analytical Approach for Topic Detection
ACM Transactions on Internet Technology (TOIT)
Studying software evolution using topic models
Science of Computer Programming
Fast topic discovery from web search streams
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A time-based collective factorization for topic discovery and monitoring in news
Proceedings of the 23rd international conference on World wide web
Identifying interesting Twitter contents using topical analysis
Expert Systems with Applications: An International Journal
Sentiment topic models for social emotion mining
Information Sciences: an International Journal
Investigating query bursts in a web search engine
Web Intelligence and Agent Systems
Story graphs: Tracking document set evolution using dynamic graphs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work that relies on Markov assumptions or discretization of time, here each topic is associated with a continuous distribution over timestamps, and for each generated document, the mixture distribution over topics is influenced by both word co-occurrences and the document's timestamp. Thus, the meaning of a particular topic can be relied upon as constant, but the topics' occurrence and correlations change significantly over time. We present results on nine months of personal email, 17 years of NIPS research papers and over 200 years of presidential state-of-the-union addresses, showing improved topics, better timestamp prediction, and interpretable trends.