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Jiyoung Ha, Seunghyun Lee and Sangtae Kim
This study aimed to verify the influence relationship between the news articles on onions produced in Korea and the consumer selling price of onions. The analysis methods were the LDA topic modeling technique and the multiple regression analysis. As a re...
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Xi Yu, Bing Ouyang and Jose C. Principe
Deep neural networks provide remarkable performances on supervised learning tasks with extensive collections of labeled data. However, creating such large well-annotated data sets requires a considerable amount of resources, time and effort, especially f...
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Adi Mulia,Akhmad Rizal Dzikrillah
Pág. 318 - 328
Penelitian ini dilakukan dengan tujuan yang didasarkan pada masalah yang muncul di masyarakat, yaitu kenaikan harga BBM. Metode klasifikasi sentimen yang diterapkan dalam penelitian ini adalah dengan menggunakan kamus korpus leksikon yang memperhitungkan...
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Viriya Taecharungroj
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer the qu...
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Carlos Vargas and Hiram Ponce
In this paper we propose the Recurrent Embedded Topic Model (RETM) which is a modification of the Embedded Topic Modelling (ETM) by reusing the Continuous Bag of Words (CBOW) that the model had implemented and applying it to a recurrent neural network (L...
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Youzhu Li, Miao Zhang, Jinsi Liu, Bingbing Su, Xinzhu Lin, Yuxuan Liang, Yize Bao, Shanshan Yang and Junjie Zhang
Vegetables are an important element in people?s dietary structure, and the price fluctuation of vegetables has attracted more and more attention. The disturbance sources of vegetable price fluctuations are characterized by uncertain risks, environmental ...
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Yue Deng and Rixing He
The determination of a reasonable spatial analysis unit is an essential step in urban functional zone (UFZ) division, which significantly affects the results. However, most studies on the division of functional zones are based on excessively large spatia...
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Qin Liang, Chunchun Hu and Si Chen
Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern, g...
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A. V. Chizhik
Pág. 21 - 29
Digital technologies have led to the formation of the new level of socio-cultural space, which is expressed in the permanent presence of the phenomenon of virtual reality in everyday life. It is the main motivating tool for social and political transform...
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A. V. Chizhik
Pág. 21 - 29
Digital technologies have led to the formation of the new level of socio-cultural space, which is expressed in the permanent presence of the phenomenon of virtual reality in everyday life. It is the main motivating tool for social and political transform...
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Girma Neshir, Andreas Rauber and Solomon Atnafu
Topic Modeling is a statistical process, which derives the latent themes from extensive collections of text. Three approaches to topic modeling exist, namely, unsupervised, semi-supervised and supervised. In this work, we develop a supervised topic model...
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Fuad Alattar and Khaled Shaalan
Comparing two sets of documents to identify new topics is useful in many applications, like discovering trending topics from sets of scientific papers, emerging topic detection in microblogs, and interpreting sentiment variations in Twitter. In this pape...
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Gang Yan, Rongjia Bi, Yingchun Guo and Weifeng Peng
Image aesthetic evaluation refers to the subjective aesthetic evaluation of images. Computational aesthetics has been widely concerned due to the limitations of subjective evaluation. Aiming at the problem that the existing evaluation methods of image ae...
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Jose Aguilar, Camilo Salazar, Henry Velasco, Julian Monsalve-Pulido and Edwin Montoya
This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representati...
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Xin Xiao, Chaoyang Fang and Hui Lin
?A picture is worth a thousand words?. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the conte...
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Emmanuel Papadakis, Song Gao and George Baryannis
The problem of discovering regions that support particular functionalities in an urban setting has been approached in literature using two general methodologies: top-down, encoding expert knowledge on urban planning and design and discovering regions tha...
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Isibor Kennedy Ihianle, Usman Naeem, Syed Islam and Abdel-Rahman Tawil
Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired. Current knowledge-driven and ontology-based techniques model object concepts from assumptions an...
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Retno Kusumaningrum, Selvi Fitria Khoerunnisa, Khadijah Khadijah and Muhammad Syafrudin
The mangrove ecosystem is crucial for addressing climate change and supporting marine life. To preserve this ecosystem, understanding community awareness is essential. While latent Dirichlet allocation (LDA) is commonly used for this, it has drawbacks su...
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Margarida Mendonça and Álvaro Figueira
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation, and ...
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Fahim Sufi
The surge in cybercrime has emerged as a pressing concern in contemporary society due to its far-reaching financial, social, and psychological repercussions on individuals. Beyond inflicting monetary losses, cyber-attacks exert adverse effects on the soc...
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