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Topic Models

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평가표: 6
보존된 평가 기록: 18

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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ethanhezhao/DirBN

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Dirichlet belief networks for topic structure learning

https://github.com/ethanhezhao/MetaLDA

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MetaLDA: a Topic Model that Efficiently Incorporates Meta information

https://github.com/ethanhezhao/NeuralSinkhornTopicModel

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Neural Topic Model via Optimal Transport

https://github.com/farahalshanik/qe

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Proactive Query Expansion for Streaming Data Using External Source

https://github.com/fitz-like-coding/cwtm

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CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling

https://github.com/fornaciari/prosit

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ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds

https://github.com/gabrer/diatom

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A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews

https://github.com/georgehc/survival-topics

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Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate

https://github.com/gibranfp/SMH-Topic-Discovery

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Topic Discovery in Massive Text Corpora Based on Min-Hashing

https://github.com/gibranfp/Sampled-MinHashing

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Topic Discovery in Massive Text Corpora Based on Min-Hashing

https://github.com/gkaramanolakis/ISWD

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Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training

https://github.com/gonzalezf/multimodal_neural_topic_modeling

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Neural Multimodal Topic Modeling: A Comprehensive Evaluation

https://github.com/gsarti/ETC-NLG

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ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation

https://github.com/hamedr96/antm

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ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics

https://github.com/hamedr96/ctc

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Contextualized Topic Coherence Metrics

https://github.com/hpicgs/topic-models-and-dimensionality-reduction-sensitivity-study

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A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations

https://github.com/hsoleimani/PTM

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Parsimonious Topic Models with Salient Word Discovery

https://github.com/hugochan/KATE

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KATE: K-Competitive Autoencoder for Text

https://github.com/huylb314/AVIAD_AVIJST

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Towards Autoencoding Variational Inference for Aspect-based Opinion Summary

https://github.com/hyintell/topicx

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Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

https://github.com/iceboal/correlated-lda

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Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

https://github.com/jasonren12/PredictionFocusedTopicModel

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Prediction Focused Topic Models via Feature Selection

https://github.com/jbaker92/scir

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Large-Scale Stochastic Sampling from the Probability Simplex

https://github.com/jeon9677/gviz

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Network-based Topic Structure Visualization

https://github.com/jeremy-costello/rl-for-topic-models

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Reinforcement Learning for Topic Models

https://github.com/jiacheng-xu/vmf_vae_nlp

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Spherical Latent Spaces for Stable Variational Autoencoders

https://github.com/johntailor/ft-topic

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Topic Modeling with Fine-tuning LLMs and Bag of Sentences

https://github.com/jrmazarura/GPM

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A Gamma-Poisson Mixture Topic Model for Short Text

https://github.com/js05212/BayesianDeepLearning-Survey

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A Survey on Bayesian Deep Learning

https://github.com/jvendrow/GuidedNMF

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On a Guided Nonnegative Matrix Factorization

https://github.com/jvking/bp-lda

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End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture

https://github.com/k-rlange/t2snarrativechanges

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Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

https://github.com/kaylaschroeder/reliability

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Reliability of Topic Modeling

https://github.com/keyATM/keyATM

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Keyword Assisted Topic Models

https://github.com/lejon/PartiallyCollapsedLDA

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Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models

https://github.com/likich/tm_graph

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Automating the Information Extraction from Semi-Structured Interview Transcripts

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