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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 426–450 of 881 papers

TitleStatusHype
An Instability in Variational Inference for Topic Models—0
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures—0
Creative Exploration Using Topic Based Bisociative Networks—0
Topic Modeling on Health Journals with Regularized Variational InferenceCode0
Knowledge-based Word Sense Disambiguation using Topic Models—0
Advice from the Oracle: Really Intelligent Information Retrieval—0
A Bayesian Nonparametric Topic Model with Variational Auto-Encoders—0
Multilingual Topic Models—0
A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models—0
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models—0
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes—0
Prediction-Constrained Topic Models for Antidepressant Recommendation—0
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models—0
State Space LSTM Models with Particle MCMC Inference—0
Application of Natural Language Processing to Determine User Satisfaction in Public Services—0
A Double Parametric Bootstrap Test for Topic Models—0
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models—0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records—0
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time—0
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks—0
Taking into account Inter-sentence Similarity for Update Summarization—0
Information Bottleneck Inspired Method For Chat Text Segmentation—0
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions—0
Topic Modeling based on Keywords and ContextCode1
SpectralLeader: Online Spectral Learning for Single Topic Models—0
Show:102550
← PrevPage 18 of 36Next →
All datasets20NewsGroupsAG News20 NewsgroupsArxiv HEP-TH citation graphAgNewsNYT

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