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 731740 of 881 papers

TitleStatusHype
Labelling Topics using Unsupervised Graph-based Methods0
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world0
A Novel Content Enriching Model for Microblog Using News Corpus0
Learning Polylingual Topic Models from Code-Switched Social Media Documents0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation0
A Provably Correct Learning Algorithm for Latent-Variable PCFGs0
Does the Phonology of L1 Show Up in L2 Texts?0
Unsupervised Alignment of Privacy Policies using Hidden Markov Models0
Perplexity on Reduced Corpora0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms0
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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