Results 31 to 40 of about 3,238,976 (181)
Comparison of Topic Modelling Approaches in the Banking Context
Applied Sciences, 2023 Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions.
Bayode Ogunleye +4 more
doaj +1 more source
Language Models Explain Word Reading Times Better Than Empirical Predictability
Frontiers in Artificial Intelligence, 2022 Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is less agreement as how to best capture syntactic and semantic factors. The
Markus J. Hofmann +4 more
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +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
doaj +1 more source
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [PDF]
, 2015 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks.
Larochelle, Hugo +2 more
core +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
doaj +1 more source
On a Topic Model for Sentences
, 2016 Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual input, and for instance the grouping of words in coherent text spans such as ...
Amini, Massih-Reza +2 more
core +2 more sources
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
, 2020 Off-topic spoken response detection, the task aiming at predicting whether a response is off-topic for the corresponding prompt, is important for an automated speaking assessment system.
Li, Ruobing, Lin, Hui, Zha, Yefei
core +1 more source