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 626–650 of 881 papers

TitleStatusHype
Using Topic Modeling and Similarity Thresholds to Detect Events—0
Using Topic Models in Content-Based News Recommender Systems—0
UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis—0
Variational Gaussian Topic Model with Invertible Neural Projections—0
Vector-space topic models for detecting Alzheimer's disease—0
Viewpoint and Topic Modeling of Current Events—0
Visual Exploration of Stopword Probabilities in Topic Models—0
Visualization of the Topic Space of Argument Search Results in args.me—0
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport—0
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection—0
VSEM: An open library for visual semantics representation—0
WEAKLY SEMI-SUPERVISED NEURAL TOPIC MODELS—0
Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce—0
What we write about when we write about causality: Features of causal statements across large-scale social discourse—0
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity—0
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models—0
`Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection—0
Why ADAGRAD Fails for Online Topic Modeling—0
Why are Big Data Matrices Approximately Low Rank?—0
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models—0
Why the Rich Get Richer? On the Balancedness of Random Partition Models—0
Word Association Profiles and their Use for Automated Scoring of Essays—0
Word Co-occurrence Augmented Topic Model in Short Text—0
Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts—0
Word Sense Induction for Novel Sense Detection—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