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 451–500 of 881 papers

TitleStatusHype
Few-shot Learning for Topic Modeling—0
FFTM: A Fuzzy Feature Transformation Method for Medical Documents—0
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing—0
Finding Bursty Topics from Microblogs—0
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial—0
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents—0
Forecasting Crude Oil Price Using Event Extraction—0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
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
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models—0
Fully Bayesian Approaches to Topics over Time—0
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection—0
Revisiting Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech—0
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back—0
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition—0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection—0
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables—0
Generalized Topic Modeling—0
Generating Recommendation Dialogs by Extracting Information from User Reviews—0
Generating Scenes with Latent Object Models—0
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics—0
Gibbs Max-margin Topic Models with Data Augmentation—0
GloCOM: A Short Text Neural Topic Model via Global Clustering Context—0
Grammars and Topic Models—0
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization—0
Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models—0
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling—0
Hashtag Recommendation with Topical Attention-Based LSTM—0
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data—0
Helping users discover perspectives: Enhancing opinion mining with joint topic models—0
He Said, She Said: Gender in the ACL Anthology—0
Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers—0
Hidden Softmax Sequence Model for Dialogue Structure Analysis—0
Hiearchie: Visualization for Hierarchical Topic Models—0
Hierarchical Discriminative Classification for Text-Based Geolocation—0
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer—0
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity—0
Hierarchical Topic Presence Models—0
Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings—0
How Text Segmentation Algorithms Gain from Topic Models—0
HTMOT : Hierarchical Topic Modelling Over Time—0
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters—0
Identifying Comparable Corpora Using LDA—0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records—0
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration—0
Improving Neural Topic Models by Contrastive Learning with BERT—0
Improving the Inference of Topic Models via Infinite Latent State Replications—0
Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling—0
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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