Results 41 to 50 of about 63,655 (233)
Applied Sciences, 2021 To assess critically the scientific literature is a very challenging task; in general it requires analysing a lot of documents to define the state-of-the-art of a research field and classifying them. The documents classifier systems have tried to address
Noemi Scarpato +2 more
doaj +1 more source
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
doaj +1 more source
Marketing Improvement of Chinese Original Picture Books From Dissatisfaction Evaluation - Text Mining Based on LDA Model [PDF]
SHS Web of Conferences, 2021 Chinese original picture books play an important role in inheriting traditional culture and forming cultural identity, which is very important for children.
Tang Ziyan, Yuan Wen
doaj +1 more source
A Competency Mining Method Based on Latent Dirichlet Allocation (LDA) Model
Journal of Physics: Conference Series, 2020 Abstract A text mining approach based on latent Dirichlet allocation (LDA) is proposed to analyze the competency characteristics. First, we briefly introduce the principle and hypothesis of latent Dirichlet allocation (LDA) model. Second, we elaborate the idea of using LDA topic model to extract competency, Then, we use Chinese text ...
Sihui Wang, Guandong Son, Jiying Wu
openaire +2 more sources
Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 185, Issue S2, Page S246-S269, December 2022., 2022 Abstract Augmenting survey data with digital traces is a promising direction for combining the advantages of active and passive data collection. However, extracting interpretable measurements from digital traces for social science research is challenging.
Ruben L. Bach +3 more
wiley +1 more source
Entropy, 2020 Topic modeling is a popular technique for clustering large collections of text documents. A variety of different types of regularization is implemented in topic modeling. In this paper, we propose a novel approach for analyzing the influence of different
Sergei Koltcov +3 more
doaj +1 more source
Genome Biology, 2020 Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heterogeneous mixtures of human cells and exogenous ...
Daniel Spakowicz +11 more
doaj +1 more source
Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering
IEEE Access, 2020 Document clustering is of high importance for many natural language technologies. A wide range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, traditional LDA-based
Peng Yang, Yu Yao, Huajian Zhou
doaj +1 more source
Journal of Cloud Computing: Advances, Systems and Applications, 2022 Web API is a popular way to organize network services in cloud computing environment. However, it is a challenge to find an appropriate service for the requestor from massive Web API services.
Jiaji Shen, Wen Huang, Qiang Hu
doaj +1 more source
Dirichlet process mixture models for single-cell RNA-seq clustering
Biology Open, 2022 Clustering of cells based on gene expression is one of the major steps in single-cell RNA-sequencing (scRNA-seq) data analysis. One key challenge in cluster analysis is the unknown number of clusters and, for this issue, there is still no comprehensive ...
Nigatu A. Adossa +2 more
doaj +1 more source