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 371380 of 881 papers

TitleStatusHype
Improving Topic Model Clustering of Newspaper Comments for Summarisation0
Improving Topic Models with Latent Feature Word Representations0
Improving Update Summarization via Supervised ILP and Sentence Reranking0
Improving Users' Demographic Prediction via the Videos They Talk about0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses0
Incorporating Lexical Priors into Topic Models0
Incorporating Word Correlation Knowledge into Topic Modeling0
Indirect Identification of Psychosocial Risks from Natural Language0
Deep Probabilistic Graphical Modeling0
Inter-Battery Topic Representation Learning0
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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