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What is Wrong with Topic Modeling? (and How to Fix it Using Search-based
  Software Engineering)

What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)

29 August 2016
Amritanshu Agrawal
Wei Fu
Tim Menzies
ArXivPDFHTML

Papers citing "What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)"

13 / 13 papers shown
Title
Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents
Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents
Diego Alvarado-Maldonado
Blair Johnston
Cameron J. Brown
37
0
0
29 Apr 2025
Comparison of Topic Modelling Approaches in the Banking Context
Comparison of Topic Modelling Approaches in the Banking Context
Bayode Ogunleye
Tonderai Maswera
Laurence Hirsch
J. Gaudoin
T. Brunsdon
AI4TS
48
41
0
05 Feb 2024
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment
  using Adversarial Learning
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
Thorsten Eisenhofer
Erwin Quiring
Jonas Moller
Doreen Riepel
Thorsten Holz
Konrad Rieck
AAML
31
6
0
25 Mar 2023
Using meaning instead of words to track topics
Using meaning instead of words to track topics
Judicael Poumay
A. Ittoo
8
0
0
02 Jan 2023
When Less is More: On the Value of "Co-training" for Semi-Supervised
  Software Defect Predictors
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
Suvodeep Majumder
Joymallya Chakraborty
Tim Menzies
21
3
0
10 Nov 2022
HTMOT : Hierarchical Topic Modelling Over Time
HTMOT : Hierarchical Topic Modelling Over Time
Judicael Poumay
A. Ittoo
25
3
0
22 Nov 2021
Assessing the Early Bird Heuristic (for Predicting Project Quality)
Assessing the Early Bird Heuristic (for Predicting Project Quality)
Shrikanth N. C.
Tim Menzies
50
4
0
24 May 2021
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
33
31
0
27 Jul 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
39
60
0
22 Jun 2020
How to "DODGE" Complex Software Analytics?
How to "DODGE" Complex Software Analytics?
Amritanshu Agrawal
Wei Fu
Di Chen
Xipeng Shen
Tim Menzies
19
51
0
05 Feb 2019
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and
  Reproducibility in Comparison to Semantic Maps
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and Reproducibility in Comparison to Semantic Maps
Tobias Hecking
L. Leydesdorff
11
17
0
04 Jun 2018
Predicting Good Configurations for GitHub and Stack Overflow Topic
  Models
Predicting Good Configurations for GitHub and Stack Overflow Topic Models
Christoph Treude
Markus Wagner
20
41
0
13 Apr 2018
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
30
196
0
01 Mar 2017
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