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 251300 of 881 papers

TitleStatusHype
Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora0
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning0
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings0
Entities as topic labels: Improving topic interpretability and evaluability combining Entity Linking and Labeled LDA0
Application of Rényi and Tsallis Entropies to Topic Modeling Optimization0
Accounting ngrams and multi-word terms can improve topic models0
Generating Scenes with Latent Object Models0
Application of Natural Language Processing to Determine User Satisfaction in Public Services0
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables0
Generalized Topic Modeling0
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts0
Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection0
Generating Recommendation Dialogs by Extracting Information from User Reviews0
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics0
Classifying Frames at the Sentence Level in News Articles0
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation0
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions0
A Joint Model of Conversational Discourse and Latent Topics on Microblogs0
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes0
Fully Bayesian Approaches to Topics over Time0
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection0
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers0
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs0
A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event0
Exploring Adaptor Grammars for Native Language Identification0
Exploration and Exploitation of Victorian Science in Darwin's Reading Notebooks0
Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models0
Exploring Thematic Coherence in Fake News0
Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning0
CFTM: Continuous time fractional topic model0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
A Bayesian approach to modeling topic-metadata relationships0
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach0
Extended Topic Model for Word Dependency0
From the Culinary to the Political Meaning of ``quenelle'' : Using Topic Models For Identifying Novel Senses (De la quenelle culinaire \`a la quenelle politique : identification de changements s\'emantiques \`a l'aide des Topic Models) [in French]0
Factorized Topic Models0
Clustering for Simultaneous Extraction of Aspects and Features from Reviews0
A Domain Adaptation Regularization for Denoising Autoencoders0
Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic Models and Encyclopedic Knowledge0
Fast Inference for Interactive Models of Text0
Fast Learning of Clusters and Topics via Sparse Posteriors0
Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs0
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models0
Collective Entity Resolution with Multi-Focal Attention0
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information0
Federated Variational Inference Methods for Structured Latent Variable Models0
Few-shot Learning for Topic Modeling0
Exploiting Domain Knowledge in Aspect Extraction0
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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