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 26–50 of 881 papers

TitleStatusHype
Twitmo: A Twitter Data Topic Modeling and Visualization Package for RCode1
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
Topic Discovery via Latent Space Clustering of Pretrained Language Model RepresentationsCode1
Keyword Assisted Embedded Topic ModelCode1
Contrastive Learning for Neural Topic ModelCode1
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus ExplorationCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Is Automated Topic Model Evaluation Broken?: The Incoherence of CoherenceCode1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
Non-negative matrix factorization algorithms greatly improve topic model fitsCode1
Is Automated Topic Model Evaluation Broken? The Incoherence of CoherenceCode1
OCTIS: Comparing and Optimizing Topic models is Simple!Code1
Using Transformer based Ensemble Learning to classify Scientific ArticlesCode1
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling DecoderCode1
TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic ModelsCode1
TopicModel4J: A Java Package for Topic ModelsCode1
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic EmbeddingCode1
Improving Neural Topic Models using Knowledge DistillationCode1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect DetectionCode1
Neural Topic Model via Optimal TransportCode1
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity DetectionCode1
Graph Structural-topic Neural NetworkCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
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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