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 401–425 of 881 papers

TitleStatusHype
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and Reproducibility in Comparison to Semantic Maps—0
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014—0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection—0
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts—0
Deep Dirichlet Multinomial RegressionCode0
Neural Storyline Extraction Model for Storyline Generation from News Articles—0
Relevant Emotion Ranking from Text Constrained with Emotion Relationships—0
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topicsCode0
Metaphor Suggestions based on a Semantic Metaphor Repository—0
Sarcasm Target Identification: Dataset and An Introductory ApproachCode0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation—0
Predicting Good Configurations for GitHub and Stack Overflow Topic Models—0
Learning Topics using Semantic Locality—0
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems—0
Microblog Topic Identification using Linked Open Data—0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond—0
Scalable Generalized Dynamic Topic ModelsCode0
Application of Rényi and Tsallis Entropies to Topic Modeling Optimization—0
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of EmotionsCode0
The Development of Darwin's Origin of Species—0
Learning Topic Models by Neighborhood Aggregation—0
Discovering Hidden Topical Hubs and Authorities in Online Social Networks—0
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data—0
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking—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