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 151200 of 881 papers

TitleStatusHype
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of DocumentsCode0
Identifying Emergent Research Trends by Key Authors and PhrasesCode0
GINopic: Topic Modeling with Graph Isomorphism NetworkCode0
Guaranteed inference in topic modelsCode0
Generative Topic Embedding: a Continuous Representation of DocumentsCode0
Grammar induction from (lots of) words aloneCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Computing Web-scale Topic Models using an Asynchronous Parameter ServerCode0
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Gaussian LDA for Topic Models with Word EmbeddingsCode0
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsCode0
Coherence-Aware Neural Topic ModelingCode0
Constrained Relational Topic ModelsCode0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related CollectionsCode0
An Ontology-Based Recommender System with an Application to the Star Trek Television FranchiseCode0
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of EmotionsCode0
Contextualized Topic Coherence MetricsCode0
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Federated Neural Topic ModelsCode0
Improving Contextualized Topic Models with Negative SamplingCode0
Evaluating Topic Quality with Posterior VariabilityCode0
Know thy corpus! Robust methods for digital curation of Web corporaCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Explainable and Discourse Topic-aware Neural Language UnderstandingCode0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language ModelsCode0
Locating the Leading Edge of Cultural ChangeCode0
MetaLDA: a Topic Model that Efficiently Incorporates Meta informationCode0
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet AllocationCode0
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vecCode0
Discriminative Topic Mining via Category-Name Guided Text EmbeddingCode0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
Aspect Sentiment Model for Micro ReviewsCode0
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word VectorsCode0
Deep Dirichlet Multinomial RegressionCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Neural Models for Documents with MetadataCode0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Exploring conversation topics in conversational artificial intelligence–Based social mediated communities of practiceCode0
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts AnalysisCode0
Nonparametric Spherical Topic Modeling with Word EmbeddingsCode0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User ReviewsCode0
AOBTM: Adaptive Online Biterm Topic Modeling Method for Version Sensitive Short-texts AnalysisCode0
On-line Trend Analysis with Topic Models: \#twitter Trends Detection Topic Model OnlineCode0
Detecting Perspectives in Political DebatesCode0
ATD: Anomalous Topic Discovery in High Dimensional Discrete DataCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Exploring Topic Coherence over Many Models and Many TopicsCode0
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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