Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Probabilistic latent semantic indexing
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Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
Efficient clustering of high-dimensional data sets with application to reference matching
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An Evaluation of Statistical Approaches to Text Categorization
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Authorship Attribution with Support Vector Machines
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Clustering and Identifying Temporal Trends in Document Databases
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
The Journal of Machine Learning Research
Algorithms for estimating relative importance in networks
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The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A maximum entropy web recommendation system: combining collaborative and content features
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Prediction and ranking algorithms for event-based network data
ACM SIGKDD Explorations Newsletter
Probabilistic topic decomposition of an eighteenth-century American newspaper
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Probabilistic models for discovering e-communities
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A mixture model for contextual text mining
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Statistical entity-topic models
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Mining for proposal reviewers: lessons learned at the national science foundation
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Topic evolution and social interactions: how authors effect research
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Delineating the citation impact of scientific discoveries
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Mining Eclipse Developer Contributions via Author-Topic Models
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
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
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Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases
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Generalized component analysis for text with heterogeneous attributes
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Unsupervised content-based indexing of sports video
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Mining business topics in source code using latent dirichlet allocation
ISEC '08 Proceedings of the 1st India software engineering conference
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Topic modeling with network regularization
Proceedings of the 17th international conference on World Wide Web
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Combinational collaborative filtering for personalized community recommendation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Anticipating annotations and emerging trends in biomedical literature
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ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
A framework for WWW user activity analysis based on user interest
Knowledge-Based Systems
Combining concept hierarchies and statistical topic models
Proceedings of the 17th ACM conference on Information and knowledge management
What did you do today?: discovering daily routines from large-scale mobile data
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Unsupervised Text Learning Based on Context Mixture Model with Dirichlet Prior
Advanced Web and NetworkTechnologies, and Applications
Enhancing the Literature Review Using Author-Topic Profiling
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Topic Detection and Tracking for Threaded Discussion Communities
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
Latent Style Model: Discovering writing styles for calligraphy works
Journal of Visual Communication and Image Representation
Sourcerer: mining and searching internet-scale software repositories
Data Mining and Knowledge Discovery
Collaborative filtering for orkut communities: discovery of user latent behavior
Proceedings of the 18th international conference on World wide web
Query-Focused Summarization by Combining Topic Model and Affinity Propagation
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
The VLDB Journal — The International Journal on Very Large Data Bases
Finding topic trends in digital libraries
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Ranking-based clustering of heterogeneous information networks with star network schema
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IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
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
PLSI: The True Fisher Kernel and beyond
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A Generic Approach to Topic Models
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Predicting response to political blog posts with topic models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Detecting topic evolution in scientific literature: how can citations help?
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An evaluation of text retrieval methods for similarity search of multi-dimensional NMR-spectra
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
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
Data mining for web personalization
The adaptive web
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OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
Variational Bayes for generic topic models
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Modeling the evolution of associated data
Data & Knowledge Engineering
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Topic models with power-law using Pitman-Yor process
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Cross-lingual latent topic extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Experts' retrieval with multiword-enhanced author topic model
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
A Combination Approach to Web User Profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
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
PTM: probabilistic topic mapping model for mining parallel document collections
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Finding the storyteller: automatic spoiler tagging using linguistic cues
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semantic grounding of hybridization for tag recommendation
WAIM'10 Proceedings of the 11th international conference on Web-age information management
A tag-topic model for blog mining
Expert Systems with Applications: An International Journal
Predicting future reviews: sentiment analysis models for collaborative filtering
Proceedings of the fourth ACM international conference on Web search and data mining
Citation author topic model in expert search
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Finding potential research collaborators in four degrees of separation
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
A temporal latent topic model for facial expression recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Comparing twitter and traditional media using topic models
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
An ontology based model for experts search and ranking
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Dimensionality reduction for blog tag mining
International Journal of Web Engineering and Technology
Mining topics on participations for community discovery
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Collective topic modeling for heterogeneous networks
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A model for expert finding in social networks
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Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Locally discriminative topic modeling
Pattern Recognition
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DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
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
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Bayesian latent variable models for collaborative item rating prediction
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ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
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ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
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Attribute and object selection queries on objects with probabilistic attributes
ACM Transactions on Database Systems (TODS)
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Information Processing and Management: an International Journal
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Blogger-Link-Topic model for blog mining
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IPKB: a digital library for invertebrate paleontology
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Pareto charting using multifield freestyle text data applied to Toyota Camry user reviews
Applied Stochastic Models in Business and Industry
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User-sentiment topic model: refining user's topics with sentiment information
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Topic-sensitive probabilistic model for expert finding in question answer communities
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Authorship attribution based on a probabilistic topic model
Information Processing and Management: an International Journal
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User community discovery from multi-relational networks
Decision Support Systems
Probabilistic Models for Social Media Mining
International Journal of Information Technology and Web Engineering
User Features and Social Networks for Topic Modeling in Online Social Media
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Incorporating popularity in topic models for social network analysis
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Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Non-negative multiple matrix factorization
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User behavior learning and transfer in composite social networks
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Web Intelligence and Agent Systems
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We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic process. Each author is represented by a probability distribution over topics, and each topic is represented as a probability distribution over words for that topic. The words in a multi-author paper are assumed to be the result of a mixture of each authors' topic mixture. The topic-word and author-topic distributions are learned from data in an unsupervised manner using a Markov chain Monte Carlo algorithm. We apply the methodology to a large corpus of 160,000 abstracts and 85,000 authors from the well-known CiteSeer digital library, and learn a model with 300 topics. We discuss in detail the interpretation of the results discovered by the system including specific topic and author models, ranking of authors by topic and topics by author, significant trends in the computer science literature between 1990 and 2002, parsing of abstracts by topics and authors and detection of unusual papers by specific authors. An online query interface to the model is also discussed that allows interactive exploration of author-topic models for corpora such as CiteSeer.