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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 881 papers

TitleStatusHype
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling—0
Creative Exploration Using Topic Based Bisociative Networks—0
Credible Review Detection with Limited Information using Consistency Analysis—0
Comparing Apples to Apple: The Effects of Stemmers on Topic Models—0
Cross-lingual Pseudo Relevance Feedback Based on Weak Relevant Topic Alignment—0
Cross-Lingual Topic Alignment in Time Series Japanese / Chinese News—0
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets—0
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)—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
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts—0
Deep Poisson Factor Modeling—0
Deep Probabilistic Graphical Modeling—0
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network—0
A provable SVD-based algorithm for learning topics in dominant admixture corpus—0
Deep topic modeling by multilayer bootstrap network and lasso—0
A Double Parametric Bootstrap Test for Topic Models—0
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery—0
Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge—0
Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives—0
An Automatic Approach for Document-level Topic Model Evaluation—0
Detecting Sarcasm Using Different Forms Of Incongruity—0
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models—0
Communication-Free Parallel Supervised Topic Models—0
Show:102550
← PrevPage 8 of 36Next →
All datasets20NewsGroupsAG News20 NewsgroupsArxiv HEP-TH citation graphAgNewsNYT

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