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 741750 of 881 papers

TitleStatusHype
Labelling Topics using Unsupervised Graph-based Methods0
Automatic Labelling of Topic Models Learned from Twitter by Summarisation0
Aspect Extraction with Automated Prior Knowledge Learning0
Dynamic Topic Adaptation for SMT using Distributional Profiles0
Assessing Violence Risk in Threatening Communications0
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world0
Perplexity on Reduced Corpora0
Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews0
Summarizing News Clusters on the Basis of Thematic Chains0
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model QualityCode0
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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