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 351–375 of 881 papers

TitleStatusHype
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora—0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors—0
Expertise Mining for Enterprise Content Management—0
HTMOT : Hierarchical Topic Modelling Over Time—0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling—0
A Joint Model of Conversational Discourse Latent Topics on Microblogs—0
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters—0
Identifying Comparable Corpora Using LDA—0
Credible Review Detection with Limited Information using Consistency Analysis—0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records—0
Integrating Document Clustering and Topic Modeling—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration—0
Cross-lingual Pseudo Relevance Feedback Based on Weak Relevant Topic Alignment—0
Improving Neural Topic Models by Contrastive Learning with BERT—0
Integrating Topic Models and Latent Factors for Recommendation—0
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets—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
Improving Topic Coherence with Regularized Topic Models—0
Improving Topic Model Clustering of Newspaper Comments for Summarisation—0
Improving Topic Models with Latent Feature Word Representations—0
Improving Update Summarization via Supervised ILP and Sentence Reranking—0
Improving Users' Demographic Prediction via the Videos They Talk about—0
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections—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