Results 11 to 20 of about 23,460 (215)
Estimating News Coverage Patterns using Latent Dirichlet Allocation (LDA)
Sukkur IBA Journal of Emerging Technologies, 2018 The growing rate of unstructured textual data has made an open challenge for the knowledge discovery, which aims extracting desired information from large collection of data.
Naeem Ahmed Mahoto
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LDA filter: A Latent Dirichlet Allocation preprocess method for Weka.
PLoS ONE, 2020 This work presents an alternative method to represent documents based on LDA (Latent Dirichlet Allocation) and how it affects to classification algorithms, in comparison to common text representation.
P Celard +3 more
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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey [PDF]
Multimedia Tools and Applications, 2018 Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents. Researchers have published many articles in the field of topic modeling and applied in various fields such as software engineering, political science, medical and linguistic science, etc ...
Jelodar, Hamed +6 more
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Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints [PDF]
Expert Systems with Applications, 2019 A text mining approach is proposed based on latent Dirichlet allocation (LDA) to analyze the Consumer Financial Protection Bureau (CFPB) consumer complaints. The proposed approach aims to extract latent topics in the CFPB complaint narratives, and explores their associated trends over time.
Bastani, Kaveh +2 more
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Evolution of Integrated Marketing Communication Research through Latent Dirichlet Allocation (LDA) Analysis [PDF]
Journal of Emerging Trends in Marketing and Management, 2020 Integrated Marketing Communication (IMC) is an area that emerged as a shift in the way MarCom departments were functioning at the beginning of 90's. For the last 30 years, the concept evolved from being a tactical set of actions to a customer-focused ...
Alina Popa, Raluca-Ecaterina Brandabur
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Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience
City, Territory and ArchitectureSpatial experience has been extensively researched in various fields, with Space Syntax being one of the most widely used methodologies. Multiple Space Syntax techniques have been developed and used to quantitively examine the relationship between ...
Ju Hyun Lee, Michael J. Ostwald
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n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
, 2021 Published in: 2019 4th International Conference on Computer Science and Engineering (UBMK). This study is extension version of "Comparison of Topic Modeling Methods for Type Detection of Turkish News" http://dx.doi.org/10.1109/UBMK.2019.8907050 .
Guven, Zekeriya Anil +2 more
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Energies, 2023 This paper presents a comprehensive analysis of public procurement documents in the domain of university buildings taken from the e-procurement platform, particularly focusing on their transformation towards more efficient energy consumption.
Anna Pamula +3 more
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A Text Classification Algorithm Based on Neural Network and LDA [PDF]
Jisuanji gongcheng, 2019 The traditional Latent Dirichlet Allocation(LDA) topic model uses Gibbs Sampling to fit unknown parameters under known conditional distributions in text classification calculations,making it difficult to weigh classification accuracy and computation ...
NIU Shuoshuo, CHAI Xiaoli, LI Deqi, XIE Bin
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ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]
Proceedings on Engineering SciencesThe ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra +4 more
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