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 51–75 of 881 papers

TitleStatusHype
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep ArchitectureCode1
A network approach to topic modelsCode1
TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic ModelsCode1
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
Topic Modeling based on Keywords and ContextCode1
Topic Modeling in Embedding SpacesCode1
Twitmo: A Twitter Data Topic Modeling and Visualization Package for RCode1
Adapting Text Embeddings for Causal InferenceCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
Autoencoding Variational Inference For Topic ModelsCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Contrastive Learning for Neural Topic ModelCode1
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
A Novel Content Enriching Model for Microblog Using News Corpus—0
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce—0
A Historical Analysis of the Field of OR/MS using Topic Models—0
A Bayesian Topic Model for Human-Evaluated Interpretability—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
An Instability in Variational Inference for Topic Models—0
A Hierarchical Knowledge Representation for Expert Finding on Social Media—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