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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 881 papers

TitleStatusHype
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion ImagesCode0
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—0
Structured Black Box Variational Inference for Latent Time Series Models—0
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling—0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
A Network Framework for Noisy Label Aggregation in Social Media—0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)—0
Topical Coherence in LDA-based Models through Induced SegmentationCode0
Jointly Learning Word Embeddings and Latent Topics—0
An Automatic Approach for Document-level Topic Model Evaluation—0
Topic supervised non-negative matrix factorizationCode0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Neural Models for Documents with MetadataCode0
Why are Big Data Matrices Approximately Low Rank?—0
Mixed Membership Word Embeddings for Computational Social Science—0
Credible Review Detection with Limited Information using Consistency Analysis—0
KATE: K-Competitive Autoencoder for TextCode0
Stochastic Divergence Minimization for Biterm Topic Model—0
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel samplerCode0
Conceptualization Topic Modeling—0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses—0
Measuring Topic Coherence through Optimal Word Buckets—0
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content—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