Results 1 to 10 of about 1,075,906 (163)
Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets [PDF]
E3S Web of Conferences, 2021 Sentiment classification is one of the hottest research areas among the Natural Language Processing (NLP) topics. While it aims to detect sentiment polarity and classification of the given opinion, requires a large number of aspect extractions.
Fatima-Zahrae Sifi +2 more
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Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 The amount of News displayed on online news portals. Often does not indicate the topic being discussed, but the News can be read and analyzed. You can find the main issues and trends in the News being discussed.
Mohammad Rezza Fahlevvi, Azhari SN
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The Latent Dirichlet Allocation (LDA) generative model for automating process of rendering judicial decisions [PDF]
E3S Web of Conferences, 2023 The Latent Dirichlet Allocation (LDA) generative model is widely used in statistical analysis and machine learning due to its ability to model the probabilities of multidimensional categorical data, such as the frequencies of different categories or the ...
Pylov Petr +2 more
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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) 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.
Kaveh Bastani +2 more
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Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali [PDF]
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Cerita-cerita berbahasa Bali memiliki topik yang beragam namun memuat nilai kearifan lokal yang perlu untuk dilestarikan. Jika cerita-cerita tersebut dapat dikelompokkan berdasarkan topik, tentu akan sangat memudahkan bagi para pembacanya dalam memilih ...
Ngurah Agus Sanjaya ER
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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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LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA
Barekeng, 2022 Twitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which
Happy Alyzhya Haay, Adi Setiawan
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Frontiers in EndocrinologyBackgroundArtificial intelligence (AI) has rapidly integrated into thyroid nodule ultrasound diagnosis and malignant risk stratification, fostering a fast-growing interdisciplinary domain encompassing endocrinology, medical imaging, and computational ...
Xinxin Li +5 more
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Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
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