Results 41 to 50 of about 23,589,100 (342)
Neurocomputing, 2023 Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Wang, JianYu, Zhang, Xiao-Lei
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A Survey on Opinion Mining: From Stance to Product Aspect
IEEE Access, 2019 With the prevalence of social media and online forum, opinion mining, aiming at analyzing and discovering the latent opinion in user-generated reviews on the Internet, has become a hot research topic. This survey focuses on two important subtasks in this
Rui Wang +4 more
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Vaccines, 2020 Background: The substandard vaccine case of that broke out in July 2018 in China triggered an outburst of news reports both domestically and aboard. Distilling the abundant textual information is helpful for a better understanding of the character during
Ping Zhou +3 more
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Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution
IEEE Transactions on Visualization and Computer Graphics, 2019 To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview mechanisms.
Mennatallah El-Assady +4 more
semanticscholar +1 more source
Personal Tastes vs. Fashion Trends: Predicting Ratings Based on Visual Appearances and Reviews
IEEE Access, 2018 People have their own tastes on visual appearances of products from various categories. For many of them, the tastes are affected by the current fashion trend.
Yining Liu, Yanming Shen
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Improving Automated Bug Triaging with Specialized Topic Model
IEEE Transactions on Software Engineering, 2017 Bug triaging refers to the process of assigning a bug to the most appropriate developer to fix. It becomes more and more difficult and complicated as the size of software and the number of developers increase.
Xin Xia +5 more
semanticscholar +1 more source
Global Analysis of COVID-19 Clinical Trials to Reflect Vaccine Progression
Journal of Microbiology and Infectious Diseases, 2020 Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe.Methods: The most important computational problem for the modeling of topics is using the observed ...
Muthusami Rathinasamy +1 more
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A correlated topic model of Science [PDF]
, 2007 Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which
D. Blei, J. Lafferty
semanticscholar +1 more source
Inferring Inter-City Trip Purpose From the Perspective of the Group
IEEE Access, 2021 Although trip purpose inference based on passively collected data has long been investigated, less attention has been paid to inter-city trips. The reason is, except using ticket sales data, only limited trips can be extracted due to the lower frequency ...
Jianpei Qian +3 more
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GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
Conference on Empirical Methods in Natural Language Processing, 2018 Discovering the latent topics within texts has been a fundamental task for many applications. However, conventional topic models suffer different problems in different settings.
Qile Zhu, Zheng Feng, Xiaolin Li
semanticscholar +1 more source