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 401–425 of 881 papers

TitleStatusHype
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
Jointly Learning Word Embeddings and Latent Topics—0
A Simple Word Embedding Model for Lexical Substitution—0
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts—0
Hiearchie: Visualization for Hierarchical Topic Models—0
Hidden Softmax Sequence Model for Dialogue Structure Analysis—0
Continuous Time Dynamic Topic Models—0
Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers—0
He Said, She Said: Gender in the ACL Anthology—0
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier—0
Labeled Interactive Topic Models—0
Labeling Topics with Images using Neural Networks—0
Labelling Topics using Unsupervised Graph-based Methods—0
Contextual Topic Modeling For Dialog Systems—0
Language Models Explain Word Reading Times Better Than Empirical Predictability—0
Large Enforced Sparse Non-Negative Matrix Factorization—0
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs—0
Large Margin Learning of Upstream Scene Understanding Models—0
Helping users discover perspectives: Enhancing opinion mining with joint topic models—0
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data—0
Hashtag Recommendation with Topical Attention-Based LSTM—0
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling—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