The Journal of Machine Learning Research
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Pachinko allocation: DAG-structured mixture models of topic correlations
ICML '06 Proceedings of the 23rd international conference on Machine learning
Automatic labeling of multinomial topic models
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Extracting shared subspace for multi-label classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the Second ACM International Conference on Web Search and Data Mining
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
Subword variation in text message classification
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Empirical study of topic modeling in Twitter
Proceedings of the First Workshop on Social Media Analytics
Latent sentiment model for weakly-supervised cross-lingual sentiment classification
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A hierarchical model of web summaries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Constrained LDA for grouping product features in opinion mining
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Partially labeled topic models for interpretable text mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Tracking trends: incorporating term volume into temporal topic models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Entity disambiguation with hierarchical topic models
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A combination of topic models with max-margin learning for relation detection
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Workflow-based assessment of student online activities with topic and dialogue role classification
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Classification techniques for assessing student collaboration in shared wiki spaces
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Generating example contexts to illustrate a target word sense
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Exploring categorization property of social annotations for information retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
Transferring topical knowledge from auxiliary long texts for short text clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
Simultaneous joint and conditional modeling of documents tagged from two perspectives
Proceedings of the 20th ACM international conference on Information and knowledge management
FORPS: friends-oriented reputation privacy score
Proceedings of the First International Workshop on Security and Privacy Preserving in e-Societies
A study of academic collaboration in computational linguistics with latent mixtures of authors
LaTeCH '11 Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Evaluating unsupervised learning for natural language processing tasks
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
Exploring supervised lda models for assigning attributes to adjective-noun phrases
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Named entity recognition in tweets: an experimental study
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Incorporating Sentiment Prior Knowledge for Weakly Supervised Sentiment Analysis
ACM Transactions on Asian Language Information Processing (TALIP)
Interpretation and trust: designing model-driven visualizations for text analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Characterize scientific domain and domain context
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
Entity-centric topic-oriented opinion summarization in twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Transparent user models for personalization
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining contentions from discussions and debates
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Attribute-restricted latent topic model for person re-identification
Pattern Recognition
A Bayesian modeling approach to multi-dimensional sentiment distributions prediction
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
TwiNER: named entity recognition in targeted twitter stream
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
User-sentiment topic model: refining user's topics with sentiment information
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Supervised HDP using prior knowledge
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Automatically characterizing places with opportunistic crowdsensing using smartphones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
TweetLDA: supervised topic classification and link prediction in Twitter
Proceedings of the 3rd Annual ACM Web Science Conference
Incorporating lexical priors into topic models
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Labeled topic detection of open source software from mining mass textual project profiles
Proceedings of the First International Workshop on Software Mining
Re-tweeting from a linguistic perspective
LSM '12 Proceedings of the Second Workshop on Language in Social Media
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A joint model for discovery of aspects in utterances
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Aspect extraction through semi-supervised modeling
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Authorship attribution with author-aware topic models
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
SSHLDA: a semi-supervised hierarchical topic model
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Using semi-structured data for assessing research paper similarity
Information Sciences: an International Journal
Mining topic-level opinion influence in microblog
Proceedings of the 21st ACM international conference on Information and knowledge management
Full-text citation analysis: enhancing bibliometric and scientific publication ranking
Proceedings of the 21st ACM international conference on Information and knowledge management
Feature LDA: a supervised topic model for automatic detection of web API documentations from the web
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Employing hierarchical Bayesian networks in simple and complex emotion topic analysis
Computer Speech and Language
Semi-Supervised Latent Dirichlet Allocation and Its Application for Document Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A topic-based recommender system for electronic marketplace platforms
Expert Systems with Applications: An International Journal
Full-text and topic based authorrank and enhanced publication ranking
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
A location-based news article recommendation with explicit localized semantic analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A contextual approach towards more accurate duplicate bug report detection
Proceedings of the 10th Working Conference on Mining Software Repositories
Spotting opinion spammers using behavioral footprints
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Representing documents through their readers
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining evidences for named entity disambiguation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking method specialized for content descriptions of classical music
Proceedings of the 22nd international conference on World Wide Web companion
Understanding and analysing microblogs
Proceedings of the 22nd international conference on World Wide Web companion
FS-NER: a lightweight filter-stream approach to named entity recognition on twitter data
Proceedings of the 22nd international conference on World Wide Web companion
Location extraction from disaster-related microblogs
Proceedings of the 22nd international conference on World Wide Web companion
TopicFlow: visualizing topic alignment of Twitter data over time
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Journal of Information Science
A topic modeling toolbox using belief propagation
The Journal of Machine Learning Research
MedLDA: maximum margin supervised topic models
The Journal of Machine Learning Research
Discovering coherent topics using general knowledge
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Domain-dependent/independent topic switching model for online reviews with numerical ratings
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
CQArank: jointly model topics and expertise in community question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
What you want is not what you get: predicting sharing policies for text-based content on facebook
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
A unified generative model for characterizing microblogs' topics
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Tag-weighted topic model for mining semi-structured documents
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Improving government services with social media feedback
Proceedings of the 19th international conference on Intelligent User Interfaces
Proceedings of the 7th ACM international conference on Web search and data mining
Timeline generation: tracking individuals on twitter
Proceedings of the 23rd international conference on World wide web
Tag recommendation for open source software
Frontiers of Computer Science: Selected Publications from Chinese Universities
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
A jointly distributed semi-supervised topic model
Neurocomputing
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A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages have multiple tags, but the tags do not always apply with equal specificity across the whole document. Solving the credit attribution problem requires associating each word in a document with the most appropriate tags and vice versa. This paper introduces Labeled LDA, a topic model that constrains Latent Dirichlet Allocation by defining a one-to-one correspondence between LDA's latent topics and user tags. This allows Labeled LDA to directly learn word-tag correspondences. We demonstrate Labeled LDA's improved expressiveness over traditional LDA with visualizations of a corpus of tagged web pages from del.icio.us. Labeled LDA outperforms SVMs by more than 3 to 1 when extracting tag-specific document snippets. As a multi-label text classifier, our model is competitive with a discriminative baseline on a variety of datasets.