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 841850 of 881 papers

TitleStatusHype
Inference in topic models: sparsity and trade-offCode0
Detecting Perspectives in Political DebatesCode0
Proactive Query Expansion for Streaming Data Using External SourceCode0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Adaptive Mixed Component LDA for Low Resource Topic ModelingCode0
Sign Clustering and Topic Extraction in Proto-ElamiteCode0
Learning document embeddings along with their uncertaintiesCode0
ProSiT! Latent Variable Discovery with PROgressive SImilarity ThresholdsCode0
Software Framework for Topic Modelling with Large CorporaCode0
Tracing Forum Posts to MOOC Content using Topic AnalysisCode0
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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