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Mostrando 621 - 640 Resultados de 1,151 Para Buscar '"dirichlet"', tiempo de consulta: 3.60s Limitar resultados
  1. 621
    “…The results of Bader charge analysis and studies employing the Voronoi–Dirichlet partition of crystal structures are also presented. …”
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    Heterometallic multinuclear nodes directing MOF electronic behavior
  2. 622
    “…Using the method of molecular Voronoi–Dirichlet polyhedra, the contributions of various types of noncovalent interactions into the formation of supramolecular structures of the obtained complexes were characterized. …”
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    New Complexes of Actinides with Monobromoacetate Ions: Synthesis and Structures
  3. 623
    “…By using a novel implementation of the latent Dirichlet allocation algorithm, we identify 37 clusters of cells that correspond to different cell types in the worm, providing new maps of putative cell type–specific gene regulatory sites, with promise for better understanding of cellular differentiation and gene regulation.…”
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    Comprehensive characterization of tissue-specific chromatin accessibility in L2 Caenorhabditis elegans nematodes
  4. 624
    Publicado 2020
    “…NLP models including Latent Dirichlet allocation (LDA), sentiment analysis (SA) and social network analysis (SNA) were applied for the analysis of the tweets and identification of topics. …”
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    Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach
  5. 625
    “…We computed word frequencies, centralities, and latent Dirichlet allocation (LDA) topic modeling. The words like symptom, hospital and treatment ranked as the most frequently used words, and the word my appeared to have the highest centrality. …”
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    Leveraging Text Mining Approach to Identify What People Want to Know About Mental Disorders From Online Inquiry Platforms
  6. 626
    “…The corpus analysis was carried out by applying the lexical study of Natural Language Processing (NLP) through its Latent Dirichlet Allocation (LDA) tool to find out the general patterns or topics in the print media of both countries. …”
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    Framing South Asian politics: An analysis of Indian and Pakistani English print media discourses regarding Kartarpur corridor
  7. 627
    “…To increase the specificity of the investigation, the Latent Dirichlet allocation (LDA) topic modeling method was applied. …”
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    A Bibliometric Analysis of the Landscape of Parathyroid Carcinoma Research Based on the PubMed (2000–2021)
  8. 628
    “…Using online hotel reviews, this study explores the difference between the influencing factors of customer satisfaction before and after the COVID-19 outbreak. By use of Latent Dirichlet Allocation and sentiment analysis, factors that affect customer satisfaction and their emotional strength before and after the COVID-19 outbreak are extracted. …”
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    Does hotel customer satisfaction change during the COVID-19? A perspective from online reviews
  9. 629
    por Zhao, Yi, Xi, Haixu, Zhang, Chengzhi
    Publicado 2021
    “…In this study, using a COVID-19-related dataset collected with the Twitter IDs, we conduct topic and sentiment analysis from the perspective of occupation, by leveraging Latent Dirichlet Allocation (LDA) topic modeling and Valence Aware Dictionary and sEntiment Reasoning (VADER) model, respectively. …”
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    Exploring Occupation Differences in Reactions to COVID-19 Pandemic on Twitter
  10. 630
    “…This study used the Latent Dirichlet Allocation (LDA) topic model to analyze pre-service teachers’ views on the nature of science (NOS). …”
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    Investigation of Pre-service Teachers’ Conceptions of the Nature of Science Based on the LDA Model
  11. 631
    por Wei, Xiaoling, Hsu, Yuan-Teng
    Publicado 2022
    “…Based on 38,457 physicians' profiles from a popular online healthcare community in China, we used Latent Dirichlet Allocation model, which is a common topic model, to analyze the non-English text to obtain more doctor's latent characteristics. …”
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    Extracting Additional Influences From Physician Profiles With Topic Modeling: Impact on Ratings and Page Views in Online Healthcare Communities
  12. 632
    por Li, Ping, He, Youshi, Li, Zhengguang
    Publicado 2022
    “…In order to draw lessons from the accident and realize knowledge sharing and reuse, this paper uses text mining technology to analyze the data of 500 construction accident investigation reports in Shenzhen, China. Firstly, a Latent Dirichlet Allocation (LDA) topic model is used to identify the unsafe behavior of construction workers and its influencing factors. …”
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    Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text Mining
  13. 633
    “…Third, based on the Dirichlet distribution and information entropy measurement, a sample difficulty discrimination module is designed to assign samples with different learning difficulty levels to the aforementioned classifiers. …”
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    Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction
  14. 634
    por Cifuentes, Jenny, Olarte, Fredy
    Publicado 2022
    “…The collected answers were categorized into a variety of topics using a Latent Dirichlet Allocation based model. Consequently, the students’, teachers’ and parents’ answers were analyzed separately to obtain a general landscape of the perceptions of the education system. …”
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    A macro perspective of the perceptions of the education system via topic modelling analysis
  15. 635
    “…Also, findings from the non-parametric Bayesian application (ANOVA/linear Dependent Dirichlet Process (DDP) mixture model) show how economic growth operates as a converging energy consumption-enabler over the long-run, from which the EU membership cannot be excluded. …”
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    Convergence behaviours of energy series and GDP nexus hypothesis: A non-parametric Bayesian application
  16. 636
    por Karas, Bradley, Qu, Sue, Xu, Yanji, Zhu, Qian
    Publicado 2022
    “…While we were able to derive/access concerns/needs/questions of patients with CF, we observed challenges and issues with the traditional techniques of topic modeling, e.g., Latent Dirichlet Allocation (LDA), for fulfilling the task of topic extraction. …”
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    Experiments with LDA and Top2Vec for embedded topic discovery on social media data—A case study of cystic fibrosis
  17. 637
    por Zheng, Zihe, Xie, Zidian, Li, Dongmei
    Publicado 2022
    “…Topic modeling using the Latent Dirichlet Allocation (LDA) model was performed to examine the topics on waterpipe tobacco. …”
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    Discussion of waterpipe tobacco smoking on reddit
  18. 638
    “…In addition, the Latent Dirichlet Allocation (LDA) topic model and K-Means clustering model are constructed to analyze the content of food safety policies and identify hot topics. …”
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    Quantitative Analysis of Food Safety Policy—Based on Text Mining Methods
  19. 639
    “…Then, by using the statistical algorithm of Latent Dirichlet Allocation, the main topics of the tweets are identified. …”
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    Detecting and analyzing topics of massive COVID-19 related tweets for various countries
  20. 640
    “…The proposed framework utilizes Latent Dirichlet Allocation (LDA) for topic modeling to evaluate the patterns in job postings in the US and the UK. …”
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    COVID-19, jobs and skills—Exploratory analysis of the job postings in the US and UK healthcare job market
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