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

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Showing 351–375 of 881 papers

TitleStatusHype
Structured Neural Topic Models for Reviews—0
A Joint Model of Conversational Discourse Latent Topics on Microblogs—0
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments—0
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across LanguagesCode0
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Construction and Quality Evaluation of Heterogeneous Hierarchical Topic ModelsCode0
Dirichlet belief networks for topic structure learningCode0
SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical OntologyCode0
Visualization of the Topic Space of Argument Search Results in args.me—0
ATM:Adversarial-neural Topic Model—0
A latent topic model for mining heterogenous non-randomly missing electronic health records data—0
Topic representation: finding more representative words in topic models—0
Contextual Topic Modeling For Dialog Systems—0
Improving Topic Models with Latent Feature Word Representations—0
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models—0
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of DocumentsCode0
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional PriorCode0
Modeling Temporality of Human Intentions by Domain Adaptation—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier—0
Siamese Network-Based Supervised Topic Modeling—0
Topic Intrusion for Automatic Topic Model Evaluation—0
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
Text Similarity in Vector Space Models: A Comparative Study—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69—Unverified
2GSMC_v0.55—Unverified
3vNVDMC_v0.52—Unverified
4ETMC_v0.51—Unverified
5NSTMC_v0.38—Unverified
6ProdLDAC_v0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
2vNVDMC_v0.44—Unverified
3GSMC_v0.41—Unverified
4ETMC_v0.41—Unverified
5NSTMC_v0.37—Unverified
6ProdLDAC_v0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836—Unverified
2Bayesian SMMTest perplexity515—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24—Unverified
2TopicEqTopic Coherence@500.1—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91—Unverified