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
Three Knowledge-Free Methods for Automatic Lexical Chain Extraction—0
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior—0
Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations—0
Topic Models and Metadata for Visualizing Text Corpora—0
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Representing Topics Using Images—0
Topic Segmentation with a Structured Topic Model—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
On-line Trend Analysis with Topic Models: \#twitter Trends Detection Topic Model OnlineCode0
A Spectral Algorithm for Latent Dirichlet Allocation—0
Truncation-free Online Variational Inference for Bayesian Nonparametric Models—0
Symmetric Correspondence Topic Models for Multilingual Text Analysis—0
Latent Community Discovery with Network Regularization for Core Actors Clustering—0
Monte Carlo Methods for Maximum Margin Supervised Topic Models—0
Unsupervised Estimation of Word Usage Similarity—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
Entity Set Expansion using Interactive Topic Information—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