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

Showing 251–275 of 881 papers

TitleStatusHype
A Historical Analysis of the Field of OR/MS using Topic Models—0
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning—0
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings—0
Entities as topic labels: Improving topic interpretability and evaluability combining Entity Linking and Labeled LDA—0
Efficient Algorithms for Sparse Moment Problems without Separation—0
BART-TL: Weakly-Supervised Topic Label Generation—0
Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes—0
Dynamic Topic Adaptation for SMT using Distributional Profiles—0
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint—0
Dynamic Language Models for Streaming Text—0
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses—0
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Automatic Poetry Generation from Prosaic Text—0
An Instability in Variational Inference for Topic Models—0
A Hierarchical Knowledge Representation for Expert Finding on Social Media—0
"Draw My Topics": Find Desired Topics fast from large scale of Corpus—0
Does the Phonology of L1 Show Up in L2 Texts?—0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis—0
Automatic Labelling of Topic Models Learned from Twitter by Summarisation—0
A new LDA formulation with covariates—0
Documents as multiple overlapping windows into grids of counts—0
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition—0
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—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