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A network approach to topic models
v1v2 (latest)

A network approach to topic models

4 August 2017
Martin Gerlach
Tiago P. Peixoto
E. Altmann
    BDL
ArXiv (abs)PDFHTML

Papers citing "A network approach to topic models"

21 / 21 papers shown
Title
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity
Manuel D. S. Hopp
Vincent Labatut
Arthur Amalvy
Richard Dufour
Hannah Stone
Hayley Jach
Kou Murayama
15
0
0
06 Jun 2025
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer
16
0
0
06 Jun 2025
Computational thematics: Comparing algorithms for clustering the genres
  of literary fiction
Computational thematics: Comparing algorithms for clustering the genres of literary fiction
Oleg Sobchuk
A. Šeļa
37
8
0
18 May 2023
More Data Types More Problems: A Temporal Analysis of Complexity,
  Stability, and Sensitivity in Privacy Policies
More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies
Juniper Lisa Lovato
Philip Mueller
Parisa Suchdev
P. Dodds
AILaw
18
5
0
17 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic
  Graphs
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Clement D Lee
Marco Battiston
73
0
0
18 Jan 2023
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case
  Study using Latent Dirichlet Allocation Method
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method
Bernadeta Griciut.e
Lifeng Han
Goran Nenadic
OOD
55
6
0
08 Jan 2023
Revealing Patient-Reported Experiences in Healthcare from Social Media
  using the DAPMAV Framework
Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework
Curtis Murray
Lewis Mitchell
Simon Jonathan Tuke
Mark Mackay
40
1
0
09 Oct 2022
Return migration of German-affiliated researchers: Analyzing departure
  and return by gender, cohort, and discipline using Scopus bibliometric data
  1996-2020
Return migration of German-affiliated researchers: Analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996-2020
Xinyi Zhao
Samin Aref
E. Zagheni
G. Stecklov
44
9
0
15 Oct 2021
Multilayer Networks for Text Analysis with Multiple Data Types
Multilayer Networks for Text Analysis with Multiple Data Types
Charles C. Hyland
Yuanming Tao
Lamiae Azizi
Martin Gerlach
Tiago P. Peixoto
E. Altmann
45
15
0
30 Jun 2021
Term-community-based topic detection with variable resolution
Term-community-based topic detection with variable resolution
Andreas Hamm
Simon Odrowski
BDL
98
6
0
25 Mar 2021
TeCoMiner: Topic Discovery Through Term Community Detection
TeCoMiner: Topic Discovery Through Term Community Detection
Andreas Hamm
Jana Thelen
Rasmus Beckmann
Simon Odrowski
49
3
0
23 Mar 2021
Analysis and tuning of hierarchical topic models based on Renyi entropy
  approach
Analysis and tuning of hierarchical topic models based on Renyi entropy approach
S. Koltcov
V. Ignatenko
Maxim Terpilovskii
Paolo Rosso
36
10
0
19 Jan 2021
A network approach to expertise retrieval based on path similarity and
  credit allocation
A network approach to expertise retrieval based on path similarity and credit allocation
Xiancheng Li
Luca Verginer
M. Riccaboni
P. Panzarasa
46
4
0
29 Sep 2020
Emerging App Issue Identification via Online Joint Sentiment-Topic
  Tracing
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
Cuiyun Gao
Jichuan Zeng
Zhiyuan Wen
David Lo
Xin Xia
Irwin King
Michael R. Lyu
40
18
0
23 Aug 2020
Large Scale Subject Category Classification of Scholarly Papers with
  Deep Attentive Neural Networks
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks
Bharath Kandimalla
Shaurya Rohatgi
Jian Wu
C. Lee Giles
74
33
0
27 Jul 2020
Symptom extraction from the narratives of personal experiences with
  COVID-19 on Reddit
Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit
Curtis Murray
Lewis Mitchell
Simon Jonathan Tuke
Mark Mackay
43
22
0
21 May 2020
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions
  in Medical Discharge Reports
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports
J. Quiroz
L. Laranjo
C. Tufanaru
A. Kocaballi
Dana Rezazadegan
S. Berkovsky
E. Coiera
50
1
0
30 Mar 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels
Community Detection in Bipartite Networks with Stochastic Blockmodels
Tzu-Chi Yen
D. Larremore
80
27
0
22 Jan 2020
The Power of Communities: A Text Classification Model with Automated
  Labeling Process Using Network Community Detection
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
Minjun Kim
Hiroki Sayama
41
2
0
25 Sep 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee
D. Wilkinson
92
203
0
01 Mar 2019
A new evaluation framework for topic modeling algorithms based on
  synthetic corpora
A new evaluation framework for topic modeling algorithms based on synthetic corpora
Hanyu Shi
Martin Gerlach
Isabel Diersen
Doug Downey
L. A. N. Amaral
43
18
0
28 Jan 2019
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