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 551–575 of 881 papers

TitleStatusHype
TopicCheck: Interactive Alignment for Assessing Topic Model Stability—0
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification—0
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts—0
Topic Extraction from Microblog Posts Using Conversation Structures—0
Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework—0
Topic Identification and Discovery on Text and Speech—0
Topic-Informed Neural Machine Translation—0
Topic Intrusion for Automatic Topic Model Evaluation—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
Comprehensive Evaluation of Large Language Models for Topic Modeling—0
Topic Modeling of Multimodal Data: An Autoregressive Approach—0
Topic Modeling with Contextualized Word Representation Clusters—0
Topic Modeling with Sentiment Clues and Relaxed Labeling Schema—0
Topic modelling discourse dynamics in historical newspapers—0
Topic Modelling: Going Beyond Token Outputs—0
Topic Modelling Meets Deep Neural Networks: A Survey—0
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and Reproducibility in Comparison to Semantic Maps—0
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures—0
Topic Models: Accounting Component Structure of Bigrams—0
Topic Models and Metadata for Visualizing Text Corpora—0
Topic Models for Dynamic Translation Model Adaptation—0
Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus—0
Topic Model Stability for Hierarchical Summarization—0
Topic Model Supervised by Understanding Map—0
Topic Models with Survival Supervision: Archetypal Analysis and Neural Approaches—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