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 451–475 of 881 papers

TitleStatusHype
MetaLDA: a Topic Model that Efficiently Incorporates Meta informationCode0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
A Unified Framework for Structured Prediction: From Theory to Practice—0
Classifying Frames at the Sentence Level in News Articles—0
Topic Model Stability for Hierarchical Summarization—0
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Detecting Sarcasm Using Different Forms Of Incongruity—0
Detecting Perspectives in Political DebatesCode0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
Why ADAGRAD Fails for Online Topic Modeling—0
Learning to Rank Semantic Coherence for Topic Segmentation—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters—0
Unsupervised Terminological Ontology Learning based on Hierarchical Topic ModelingCode0
Communication-Free Parallel Supervised Topic Models—0
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR—0
A network approach to topic modelsCode1
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Combining Thesaurus Knowledge and Probabilistic Topic Models—0
Structural Regularities in Text-based Entity Vector SpacesCode1
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models—0
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—0
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion ImagesCode0
Structured Black Box Variational Inference for Latent Time Series Models—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