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 601650 of 881 papers

TitleStatusHype
What we write about when we write about causality: Features of causal statements across large-scale social discourse0
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves0
Combinatorial Topic Models using Small-Variance Asymptotics0
A Survey on Bayesian Deep LearningCode0
Nonparametric Spherical Topic Modeling with Word EmbeddingsCode0
Recovering Structured Probability Matrices0
Scaling up Dynamic Topic ModelsCode0
Spectral Learning for Supervised Topic Models0
"Draw My Topics": Find Desired Topics fast from large scale of Corpus0
Comparing Apples to Apple: The Effects of Stemmers on Topic Models0
ATD: Anomalous Topic Discovery in High Dimensional Discrete DataCode0
Towards Evaluation of Cultural-scale Claims in Light of Topic Model Sampling Effects0
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums0
Guaranteed inference in topic modelsCode0
Inference in topic models: sparsity and trade-offCode0
More Efficient Topic Modelling Through a Noun Only Approach0
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial0
Word Co-occurrence Augmented Topic Model in Short Text0
Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling0
Deep Poisson Factor Modeling0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT0
MOOCs Meet Measurement Theory: A Topic-Modelling Approach0
Neural Variational Inference for Text ProcessingCode0
Bayesian Analysis of Dynamic Linear Topic Models0
Partial Membership Latent Dirichlet AllocationCode0
Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling0
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models0
Large Enforced Sparse Non-Negative Matrix Factorization0
A General Method for Robust Bayesian Modeling0
A Historical Analysis of the Field of OR/MS using Topic Models0
Cross-lingual Pseudo Relevance Feedback Based on Weak Relevant Topic Alignment0
Pivot-Based Topic Models for Low-Resource Lexicon Extraction0
Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation0
Exploration and Exploitation of Victorian Science in Darwin's Reading Notebooks0
EMNLP versus ACL: Analyzing NLP research over time0
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis0
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion0
Efficient Methods for Incorporating Knowledge into Topic Models0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis0
Topic Identification and Discovery on Text and Speech0
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related CollectionsCode0
Topic Stability over Noisy Sources0
LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation0
Extended Topic Model for Word Dependency0
Matrix and Tensor Factorization Methods for Natural Language Processing0
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts0
Efficient Methods for Inferring Large Sparse Topic Hierarchies0
Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress0
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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