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 701–725 of 881 papers

TitleStatusHype
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing—0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
A Novel Measure for Coherence in Statistical Topic Models—0
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes—0
Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems—0
Application of Natural Language Processing to Determine User Satisfaction in Public Services—0
Application of Rényi and Tsallis Entropies to Topic Modeling Optimization—0
Application of Topic Models to Judgments from Public Procurement Domain—0
A provable SVD-based algorithm for learning topics in dominant admixture corpus—0
A Provably Correct Learning Algorithm for Latent-Variable PCFGs—0
Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?—0
Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction—0
A Simple Word Embedding Model for Lexical Substitution—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content—0
Aspect Extraction through Semi-Supervised Modeling—0
Aspect Extraction with Automated Prior Knowledge Learning—0
A Spectral Algorithm for Latent Dirichlet Allocation—0
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback—0
Assessing Violence Risk in Threatening Communications—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
Asynchronous Distributed Learning of Topic Models—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