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 326–350 of 881 papers

TitleStatusHype
A Bayesian Nonparametric Topic Model with Variational Auto-Encoders—0
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network—0
Deep Probabilistic Graphical Modeling—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Deep Poisson Factor Modeling—0
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts—0
Assessing Violence Risk in Threatening Communications—0
Analyzing Bayesian Crosslingual Transfer in Topic Models—0
Decentralized Topic Modelling with Latent Dirichlet Allocation—0
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback—0
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)—0
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets—0
A framework for streamlined statistical prediction using topic models—0
Cross-Lingual Topic Alignment in Time Series Japanese / Chinese News—0
Cross-lingual Pseudo Relevance Feedback Based on Weak Relevant Topic Alignment—0
A Spectral Algorithm for Latent Dirichlet Allocation—0
Credible Review Detection with Limited Information using Consistency Analysis—0
Aspect Extraction with Automated Prior Knowledge Learning—0
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language—0
Creative Exploration Using Topic Based Bisociative Networks—0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling—0
Aspect Extraction through Semi-Supervised Modeling—0
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Convolutional Dictionary Learning through Tensor Factorization—0
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content—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