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← Core Methods
Machine Learning
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Core Methods
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Topic Modeling
119 directly classified papers
Papers per year
2007: 4
2008: 1
2009: 4
2010: 4
2011: 3
2013: 6
2014: 2
2015: 2
2016: 2
2017: 10
2018: 9
2019: 17
2020: 12
2021: 6
2022: 9
2023: 10
2024: 11
2025: 7
Papers
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
EMNLP 2018
A Reduction for Efficient LDA Topic Reconstruction
NIPS 2018
Improving Topic Quality by Promoting Named Entities in Topic Modeling
ACL 2018
Neural Models for Documents with Metadata
ACL 2018
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields
ACL 2018
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections
ACL 2018
Detecting Perspectives in Political Debates
EMNLP 2017
An Unsupervised Neural Attention Model for Aspect Extraction
ACL 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling
NIPS 2017
Topic-Based Agreement and Disagreement in US Electoral Manifestos
EMNLP 2017
Topic Signatures in Political Campaign Speeches
EMNLP 2017
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
EMNLP 2017
Topically Driven Neural Language Model
ACL 2017
Learning Topic-Sensitive Word Representations
ACL 2017
Aspect Extraction from Product Reviews Using Category Hierarchy Information
EACL 2017
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
ACL 2017
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
NIPS 2016
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
NIPS 2016
Rethinking LDA: Moment Matching for Discrete ICA
NIPS 2015
On some provably correct cases of variational inference for topic models
NIPS 2015
Spectral Methods for Supervised Topic Models
NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus
NIPS 2014
Recognizing Activities via Bag of Words for Attribute Dynamics
CVPR 2013
Lexical and Hierarchical Topic Regression
NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
NIPS 2013
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