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 76100 of 881 papers

TitleStatusHype
GINopic: Topic Modeling with Graph Isomorphism NetworkCode0
Grammar induction from (lots of) words aloneCode0
Gaussian LDA for Topic Models with Word EmbeddingsCode0
Generative Topic Embedding: a Continuous Representation of DocumentsCode0
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related CollectionsCode0
Federated Neural Topic ModelsCode0
Familia: A Configurable Topic Modeling Framework for Industrial Text EngineeringCode0
Exploring conversation topics in conversational artificial intelligence–Based social mediated communities of practiceCode0
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Improving Neural Topic Models with Wasserstein Knowledge DistillationCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Aspect Sentiment Model for Micro ReviewsCode0
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet AllocationCode0
Document Informed Neural Autoregressive Topic Models with Distributional PriorCode0
Diversity-Aware Coherence Loss for Improving Neural Topic ModelsCode0
Document Informed Neural Autoregressive Topic ModelsCode0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Dirichlet Variational AutoencoderCode0
Exploring Topic Coherence over Many Models and Many TopicsCode0
ATD: Anomalous Topic Discovery in High Dimensional Discrete DataCode0
Topic Modeling with Fine-tuning LLMs and Bag of SentencesCode0
Discriminative Topic Modeling with Logistic LDACode0
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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