Results 51 to 60 of about 17,652,183 (292)
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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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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On a Topic Model for Sentences
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 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 sentences, contains much information which is generally lost with these models.
Georgios Balikas +2 more
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Identifying informative tweets during a pandemic via a topic‑aware neural language model
, 2022 Every epidemic affects the real lives of many people around the world and leads to terrible consequences. Recently, many tweets about the COVID-19 pandemic have been shared publicly on social media platforms.
Li, Lin +9 more
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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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Interactive Topic Model for the Signs Journal: Source Code
, 2013 The browser code was used to model all of the articles from the Signs journal (1975-2014), resulting in a 70-topic model. Each article is described as a mixture of verbal patterns or topics.
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Interactive Topic Model for the Signs Journal: Data
, 2014 In this study, the corpus that was modeled included all of the articles from the Signs journal (1975-2014), resulting in a 70-topic model. Each article is described as a mixture of verbal patterns or topics. Every topic is a family of words that tend to
core +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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