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 521530 of 881 papers

TitleStatusHype
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers0
Latent Topic Embedding0
Hashtag Recommendation with Topical Attention-Based LSTM0
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing0
POS Tagging Experts via Topic Modeling0
Stochastic Gradient Geodesic MCMC Methods0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora0
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation0
Grammar induction from (lots of) words aloneCode0
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs0
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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