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 201–225 of 881 papers

TitleStatusHype
Improving Neural Topic Models by Contrastive Learning with BERT—0
Forecasting Crude Oil Price Using Event Extraction—0
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context RepresentationsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Self-Supervised Neural Topic Modeling—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
An Uncertainty-Aware Encoder for Aspect DetectionCode0
TopicNet: Semantic Graph-Guided Topic DiscoveryCode0
Recommender Systems meet Mechanism Design—0
SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining—0
n-stage Latent Dirichlet Allocation: A Novel Approach for LDACode0
Neural Attention-Aware Hierarchical Topic Model—0
Topic Model Supervised by Understanding Map—0
Learning Topic Models: Identifiability and Finite-Sample Analysis—0
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences—0
One Objective for All Models --- Self-supervised Learning for Topic Models—0
Generating Scenes with Latent Object Models—0
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets—0
Evolution of topics in central bank speech communication—0
Towards Explainable Scientific Venue Recommendations—0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions—0
Benchmarking Neural Topic Models: An Empirical Study—0
Spurious Correlations in Cross-Topic Argument MiningCode0
A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event—0
Show:102550
← PrevPage 9 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