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

Showing 151175 of 881 papers

TitleStatusHype
LDA2Net: Digging under the surface of COVID-19 topics in scientific literature0
Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic LabelingCode0
Bilingual Topic Models for Comparable Corpora0
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification0
HTMOT : Hierarchical Topic Modelling Over Time0
Keyword Assisted Embedded Topic ModelCode1
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models0
Improving Neural Topic Models by Contrastive Learning with BERT0
Towards Improving Topic Models with the BERT-based Neural Topic Encoder0
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge0
Neural Dynamic Focused Topic Model0
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics0
Forecasting Crude Oil Price Using Event Extraction0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts0
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context RepresentationsCode0
An Uncertainty-Aware Encoder for Aspect DetectionCode0
Self-Supervised Neural Topic Modeling0
TopicNet: Semantic Graph-Guided Topic DiscoveryCode0
Recommender Systems meet Mechanism Design0
Contrastive Learning for Neural Topic ModelCode1
SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining0
n-stage Latent Dirichlet Allocation: A Novel Approach for LDACode0
Neural Attention-Aware Hierarchical Topic Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified