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 611620 of 881 papers

TitleStatusHype
Inference in topic models: sparsity and trade-offCode0
Guaranteed inference in topic modelsCode0
Word Co-occurrence Augmented Topic Model in Short Text0
More Efficient Topic Modelling Through a Noun Only Approach0
Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT0
Deep Poisson Factor Modeling0
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial0
MOOCs Meet Measurement Theory: A Topic-Modelling Approach0
Neural Variational Inference for Text ProcessingCode0
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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