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 376–400 of 881 papers

TitleStatusHype
Incorporating Lexical Priors into Topic Models—0
Incorporating Word Correlation Knowledge into Topic Modeling—0
Indirect Identification of Psychosocial Risks from Natural Language—0
Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings—0
Hierarchical Topic Presence Models—0
Information Bottleneck Inspired Method For Chat Text Segmentation—0
Integrating Document Clustering and Topic Modeling—0
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions—0
Integrating Topic Models and Latent Factors for Recommendation—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Interactive Topic Modeling with Anchor Words—0
Interactive Topic Models with Optimal Transport—0
Interactive Visual Exploration of Topic Models using Graphs—0
Inter-Battery Topic Representation Learning—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks—0
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data—0
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity—0
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer—0
Hierarchical Discriminative Classification for Text-Based Geolocation—0
Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms—0
A Simple Word Embedding Model for Lexical Substitution—0
Hiearchie: Visualization for Hierarchical 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