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 651–675 of 881 papers

TitleStatusHype
User Based Aggregation for Biterm Topic Model—0
A Hierarchical Knowledge Representation for Expert Finding on Social Media—0
Gaussian LDA for Topic Models with Word EmbeddingsCode0
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns—0
A Computationally Efficient Algorithm for Learning Topical Collocation Models—0
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process—0
Efficient Learning for Undirected Topic Models—0
Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture—0
Sparse Partially Collapsed MCMC for Parallel Inference in Topic ModelsCode0
Convolutional Dictionary Learning through Tensor Factorization—0
Using Topic Modeling and Similarity Thresholds to Detect Events—0
The University of Maryland CLPsych 2015 Shared Task System—0
A Simple Word Embedding Model for Lexical Substitution—0
Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter—0
A Method of Accounting Bigrams in Topic Models—0
Practical issues in developing semantic frameworks for the analysis of verbal fluency data: A Norwegian data case study—0
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words—0
Speeding Document Annotation with Topic Models—0
RevUP: Automatic Gap-Fill Question Generation from Educational Texts—0
Short Text Understanding by Leveraging Knowledge into Topic Model—0
Improving Update Summarization via Supervised ILP and Sentence Reranking—0
Incorporating Word Correlation Knowledge into Topic Modeling—0
TopicCheck: Interactive Alignment for Assessing Topic Model Stability—0
Topic Models: Accounting Component Structure of Bigrams—0
Is Your Anchor Going Up or Down? Fast and Accurate Supervised 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