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

Showing 101125 of 881 papers

TitleStatusHype
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
Evaluating Topic Quality with Posterior VariabilityCode0
Aspect Sentiment Model for Micro ReviewsCode0
Explainable and Discourse Topic-aware Neural Language UnderstandingCode0
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
HyHTM: Hyperbolic Geometry based Hierarchical Topic ModelsCode0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet AllocationCode0
Improving Contextualized Topic Models with Negative SamplingCode0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related CollectionsCode0
Diversity-Aware Coherence Loss for Improving Neural Topic ModelsCode0
Analyses of Multi-collection Corpora via Compound Topic ModelingCode0
jLDADMM: A Java package for the LDA and DMM topic modelsCode0
Automating the Information Extraction from Semi-Structured Interview TranscriptsCode0
Document Informed Neural Autoregressive Topic Models with Distributional PriorCode0
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topicsCode0
Adaptive Mixed Component LDA for Low Resource Topic ModelingCode0
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya UrnsCode0
Discriminative Topic Modeling with Logistic LDACode0
Latent Tree Models for Hierarchical Topic DetectionCode0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
Document Informed Neural Autoregressive Topic ModelsCode0
Dirichlet belief networks for topic structure learningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified