topic model

Topic model

Content:
basic topic model: PLSA, LDA
Mining multi-faceted overviews of arbitrary topics in a text collection
Modeling online reviews with multi-grain topic models
Multiscale topic tomography

NLP
A topic model for word sense disambiguationSyntactic topic models
Integrating topics and syntax
Topic modeling: beyond bag-of-words
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
Topical n-grams: Phrase and topic discovery, with an application to information retrieval
A topic model for word sense disambiguation

opinion mining
Topic sentiment mixture: modeling facets and opinions in weblogs
A joint model of text and aspect ratings for sentiment summarization
Learning document-level semantic properties from free-text annotations
Opinion integration through semi-supervised topic modeling
ARSA: a sentiment-aware model for predicting sales performance using blogs
Joint Sentiment/Topic Model for Sentiment Analysis

retrieval
LDA-based document models for ad-hoc retrieval
Exploring social annotations for information retrieval
Modeling general and specific aspects of documents with a probabilistic topic model
Exploring topic-based language models for effective web information retrieval
Probabilistic Models for Expert Finding

topic labeling
Generating summary keywords for emails using topics
Automatic Labeling of Multinomial Topic Models
Semantic Annotation of Frequent Patterns

spam filtering
Latent dirichlet allocation in web spam filtering
Linked latent dirichlet allocation in web spam filtering

topic segmentation
Topic-based document segmentation with probabilistic latent semantic analysis
Bayesian unsupervised topic segmentation
Text segmentation with LDA-based Fisher kernel
Hierarchical text segmentation from multi-scale lexical cohesion
Extraction of coherent relevant passages using hidden Markov models
Topic segmentation with an aspect hidden Markov model
Detecting Topic Drift with Compound Topic Models

information extraction
Employing Topic Models for Pattern-based Semantic Class Discovery
Combining Concept Hierarchies and Statistical Topic Models
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes
An Unsupervised Framework for Extracting and Normalizing Product Attributes from Multiple Web Sites
Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach
Adapting Web Information Extraction Knowledge via Mining Site Invariant and Site Dependent Features
Learning to Extract and Summarize Hot Item Features from Multiple Auction Web Sites"
Semi-supervised Extraction of Entity Aspects Using Topic Models

summarization
Bayesian query-focused summarization
Topic-based multi-document summarization with probabilistic latent semantic analysis
Multi-topic based Query-oriented Summarization
Multi-Document Summarization using Sentence-based Topic Models
Generating Impact-Based Summaries for Scientific Literature
Generating Comparative Summaries of Contradictory Opinions in Text
Rated Aspect Summarization of Short Comments

collaborative filtering
Latent semantic models for collaborative filtering
Google news personalization: scalable online collaborative filtering
Combinational collaborative filtering for personalized community recommendation
Latent dirichlet allocation for tag recommendation
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
Tag-LDA for Scalable Real-time Tag Recommendation

Temporal factor
dynamic topic model
Dynamic topic models
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Continuous time dynamic topic models
Dynamic mixture models for multiple time series
On-Line LDA: Adaptive Topic Models for Mining Text Streams
Topic models over text streams: A study of batch and online unsupervised learning

event mining & theme evolution & text stream mining
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Topics over time: a non-markov continuous-time model of topical trends
Topic models over text streams: A study of batch and online unsupervised learning
Mining correlated bursty topic patterns from coordinated text streams
Topic Evolution in a stream of Documents

Entity:
Author-topic model & citation research & review match
The author-topic model for authors and documents
Probabilistic author-topic models for information discovery
The author-recipient-topic model for topic and role discovery in social networks
Expertise modeling for matching papers with reviewers
Topic evolution and social interactions: how authors effect research
Joint latent topic models for text and citations
Co-ranking authors and documents in a heterogeneous network
Mixed-membership models of scientific publications
Modeling individual differences using Dirichlet processes
Multi-aspect expertise matching for review assignment
Topic-link LDA: joint models of topic and author community
Group and topic discovery from relations and their attributes
Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling, ADMA 2009
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation, ECIR 2009

Network:
entity-topic model
Statistical entity-topic models
Named entity recognition in query

link entity
Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs
Connections between the lines: augmenting social networks with text
Relational topic models for document networks

community discovery
Topic and role discovery in social networks with experiments on enron and academic email
Group and topic discovery from relations and text
Probabilistic models for discovering e-communities
Arnetminer: Extraction and mining of academic social networks
Community evolution in dynamic multi-mode networks
An LDA-based community structure discovery approach for large-scale social networks
Probabilistic community discovery using hierarchical latent gaussian mixture model
Modeling Evolutionary Behaviors for Community-based Dynamic Recommendation
Joint group and topic discovery from relations and text
Social topic models for community extraction
Combining link and content for community detection: a discriminative approach
Topic-Link LDA: Joint Models of Topic and Author Community

network regularization
Modeling hidden topics on document manifold
Topic Modeling with Network Regularization

Evaluation
Reading tea leaves: How humans interpret topic models