SOTAVerified

Topic Models

A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for the discovery of hidden semantic structures in a text body.

Papers

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Showing 801–825 of 881 papers

TitleStatusHype
Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations—0
Topic Segmentation with a Structured Topic Model—0
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Representing Topics Using Images—0
Three Knowledge-Free Methods for Automatic Lexical Chain Extraction—0
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation—0
Using Topic Models in Content-Based News Recommender Systems—0
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability—0
Evaluating Topic Coherence Using Distributional Semantics—0
Factorized Topic Models—0
A Practical Algorithm for Topic Modeling with Provable GuaranteesCode0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
Learning Mixtures of Arbitrary Distributions over Large Discrete Domains—0
Unsupervised Estimation of Word Usage Similarity—0
Latent Community Discovery with Network Regularization for Core Actors Clustering—0
On-line Trend Analysis with Topic Models: \#twitter Trends Detection Topic Model OnlineCode0
Monte Carlo Methods for Maximum Margin Supervised Topic Models—0
A Spectral Algorithm for Latent Dirichlet Allocation—0
Symmetric Correspondence Topic Models for Multilingual Text Analysis—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
Truncation-free Online Variational Inference for Bayesian Nonparametric Models—0
Entity Set Expansion using Interactive Topic Information—0
Cross-Lingual Topic Alignment in Time Series Japanese / Chinese News—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69—Unverified
2GSMC_v0.55—Unverified
3vNVDMC_v0.52—Unverified
4ETMC_v0.51—Unverified
5NSTMC_v0.38—Unverified
6ProdLDAC_v0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
2vNVDMC_v0.44—Unverified
3GSMC_v0.41—Unverified
4ETMC_v0.41—Unverified
5NSTMC_v0.37—Unverified
6ProdLDAC_v0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836—Unverified
2Bayesian SMMTest perplexity515—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24—Unverified
2TopicEqTopic Coherence@500.1—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91—Unverified