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 151–175 of 881 papers

TitleStatusHype
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network—0
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery—0
Detecting Sarcasm Using Different Forms Of Incongruity—0
Concept-based Selectional Preferences and Distributional Representations from Wikipedia Articles—0
A latent topic model for mining heterogenous non-randomly missing electronic health records data—0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
A Provably Correct Learning Algorithm for Latent-Variable PCFGs—0
Decentralized Topic Modelling with Latent Dirichlet Allocation—0
Comparing Apples to Apple: The Effects of Stemmers on Topic Models—0
Concurrent Visualization of Relationships between Words and Topics in Topic Models—0
Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations—0
A Method of Accounting Bigrams in Topic Models—0
Advice from the Oracle: Really Intelligent Information Retrieval—0
Constructing a Class-Based Lexical Dictionary using Interactive Topic Models—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction—0
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability—0
A provable SVD-based algorithm for learning topics in dominant admixture corpus—0
Continuous Time Dynamic Topic Models—0
A Double Parametric Bootstrap Test for Topic Models—0
Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms—0
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions—0
Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions—0
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic 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