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 461470 of 881 papers

TitleStatusHype
Learning to Rank Semantic Coherence for Topic Segmentation0
Adapting Topic Models using Lexical Associations with Tree Priors0
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters0
Unsupervised Terminological Ontology Learning based on Hierarchical Topic ModelingCode0
Communication-Free Parallel Supervised Topic Models0
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR0
A network approach to topic modelsCode1
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Combining Thesaurus Knowledge and Probabilistic Topic Models0
Structural Regularities in Text-based Entity Vector SpacesCode1
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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