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

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Showing 601–625 of 881 papers

TitleStatusHype
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
Mixing syntagmatic and paradigmatic information for concept detection—0
Modeling Interestingness with Deep Neural Networks—0
Modeling Temporality of Human Intentions by Domain Adaptation—0
Modeling Word Relatedness in Latent Dirichlet Allocation—0
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability—0
Modelling Sequential Text with an Adaptive Topic Model—0
Model-Parallel Inference for Big Topic Models—0
Model Selection for Topic Models via Spectral Decomposition—0
Monte Carlo Methods for Maximum Margin Supervised Topic Models—0
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models—0
MOOCs Meet Measurement Theory: A Topic-Modelling Approach—0
More Efficient Topic Modelling Through a Noun Only Approach—0
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram—0
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents—0
Multi-environment Topic Models—0
Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling—0
Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library—0
Multilingual Dynamic Topic Model—0
Multilingual Topic Models—0
Multimodal Topic Labelling—0
Multi Sense Embeddings from Topic Models—0
Multivariate Gaussian Topic Modelling: A novel approach to discover topics with greater semantic coherence—0
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features—0
Narrative Schema Stability in News Text—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