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
Application of Rényi and Tsallis Entropies to Topic Modeling Optimization—0
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of EmotionsCode0
The Development of Darwin's Origin of Species—0
Learning Topic Models by Neighborhood Aggregation—0
Discovering Hidden Topical Hubs and Authorities in Online Social Networks—0
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data—0
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking—0
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
State Space LSTM Models with Particle MCMC Inference—0
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models—0
Application of Natural Language Processing to Determine User Satisfaction in Public Services—0
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models—0
A Double Parametric Bootstrap Test for Topic Models—0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records—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