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 301325 of 881 papers

TitleStatusHype
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing0
Finding Bursty Topics from Microblogs0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Hashtag Recommendation with Topical Attention-Based LSTM0
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents0
Forecasting Crude Oil Price Using Event Extraction0
Friendly Topic Assistant for Transformer Based Abstractive Summarization0
From the Culinary to the Political Meaning of ``quenelle'' : Using Topic Models For Identifying Novel Senses (De la quenelle culinaire \`a la quenelle politique : identification de changements s\'emantiques \`a l'aide des Topic Models) [in French]0
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models0
Fully Bayesian Approaches to Topics over Time0
Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs0
Revisiting Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech0
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond0
Exploiting Domain Knowledge in Aspect Extraction0
Generalisability of Topic Models in Cross-corpora Abusive Language Detection0
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables0
Generalized Topic Modeling0
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora0
Generating Scenes with Latent Object Models0
Conceptualization Topic Modeling0
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics0
Gibbs Max-margin Topic Models with Data Augmentation0
Concurrent Visualization of Relationships between Words and Topics in Topic Models0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified