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 141150 of 881 papers

TitleStatusHype
Contextualized Topic Coherence MetricsCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
HyHTM: Hyperbolic Geometry based Hierarchical Topic ModelsCode0
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections0
Reinforcement Learning for Topic ModelsCode0
Two to Five Truths in Non-Negative Matrix Factorization0
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection0
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System0
Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence0
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic ModelingCode0
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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