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 226–250 of 881 papers

TitleStatusHype
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Graph neural topic model with commonsense knowledgeCode0
Knowledge-Aware Bayesian Deep Topic ModelCode0
Partial Membership Latent Dirichlet AllocationCode0
Best feature performance in codeswitched hate speech texts—0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study—0
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
Benchmarking Neural Topic Models: An Empirical Study—0
Bayesian Analysis of Dynamic Linear Topic Models—0
A Novel Content Enriching Model for Microblog Using News Corpus—0
Efficient Methods for Inferring Large Sparse Topic Hierarchies—0
Efficient Methods for Incorporating Knowledge into Topic Models—0
Efficient Learning for Undirected Topic Models—0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora—0
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation—0
Efficient Tree-Based Topic Modeling—0
Eigenvectors of Orthogonally Decomposable Functions—0
Embedded Topic Models Enhanced by Wikification—0
EMNLP versus ACL: Analyzing NLP research over time—0
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce—0
Enhanced Personalized Search using Social Data—0
A Historical Analysis of the Field of OR/MS using Topic Models—0
Efficient Algorithms for Sparse Moment Problems without Separation—0
Show:102550
← PrevPage 10 of 36Next →
All datasets20NewsGroupsAG News20 NewsgroupsArxiv HEP-TH citation graphAgNewsNYT

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