Results 11 to 20 of about 509,299 (294)
Applied Sciences, 2022 In the age of social networks, the number of tweets sent by users has led to a sharp rise in public opinion. Public opinions are closely related to user stances. User stance detection has become an important task in the field of public opinion.
Peng Jia +5 more
doaj +1 more source
Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
IEEE Access, 2021 The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
doaj +1 more source
Modelling of trends in Twitter using retweet graph dynamics [PDF]
, 2014 In this paper we model user behaviour in Twitter to capture the emergence of trending topics. For this purpose, we first extensively analyse tweet datasets of several different events.
Berg, Hans van den +5 more
core +9 more sources
INTERACTIVE TOOL FOR VISUALIZATION OF TOPIC MODELS [PDF]
Acta Electrotechnica et Informatica, 2019 Digital data are all around us and occurs in various forms as videos, pictures or texts. Digital documents represent the vast majority of such data. It can be e-news, social media contributions and so on.
Miroslav SMATANA +3 more
doaj +1 more source
International Journal of Population Data Science, 2018 Cancer care is complex and exists within the broader healthcare system. The CanIMPACT team sought to enhance primary cancer care capacity and improve integration between primary and cancer specialist care, focusing on breast cancer.
Patti Ann Groome +7 more
doaj +1 more source
Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network [PDF]
, 2016 Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents ...
Buntine, Wray, Lim, Kar Wai
core +1 more source
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
core +3 more sources
News Topic Detection Based on Capsule Semantic Graph
Big Data Mining and Analytics, 2022 Most news topic detection methods use word-based methods, which easily ignore the relationship among words and have semantic sparsity, resulting in low topic detection accuracy.
Shuang Yang, Yan Tang
doaj +1 more source
Graph-Sparse LDA: A Topic Model with Structured Sparsity [PDF]
, 2014 Originally designed to model text, topic modeling has become a powerful tool for uncovering latent structure in domains including medicine, finance, and vision.
Adams, Ryan +2 more
core +1 more source
A latent topic‐aware network for dense video captioning
IET Computer Vision, 2023 Multiple events in a long untrimmed video possess the characteristics of similarity and continuity. These characteristics can be considered as a kind of topic semantic information, which probably behaves as same sports, similar scenes, same objects etc ...
Tao Xu +3 more
doaj +1 more source