Evaluating the feasibility of constructing shopping centers on urban vacant land through a spatial multi-criteria decision-making model
J Khosravian, S Qureshi, S Rostamzadeh… - … in Sustainable Cities, 2024 - frontiersin.org
Shopping centers are among the major economic and commercial places in cities in terms of
social function, urban sustainability, environment, etc. Therefore, it is crucial to determine …
social function, urban sustainability, environment, etc. Therefore, it is crucial to determine …
A Review on Text Sentiment Analysis with Machine Learning and Deep Learning Techniques
Y Mamani-Coaquira, E Villanueva - IEEE Access, 2024 - ieeexplore.ieee.org
Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …
the exponential growth of user-generated content, including comments and opinions on …
GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran
In developing countries, the interaction between rapid urban expansion and population
growth brings forth a host of challenges, particularly concerning essential services like …
growth brings forth a host of challenges, particularly concerning essential services like …
Graph Convolutional Network with Syntactic Dependency for Aspect-Based Sentiment Analysis
F Zhang, W Zheng, Y Yang - International Journal of Computational …, 2024 - Springer
Aspect-based sentiment analysis (ABSA) aims to mine the sentiment tendencies expressed
by specific aspect terms. The studies of ABSA mainly focus on the attention-based …
by specific aspect terms. The studies of ABSA mainly focus on the attention-based …
Artificial Neural Network Prediction of COVID-19 Daily Infection Count
N Jiang, C Kolozsvary, Y Li - Bulletin of Mathematical Biology, 2024 - Springer
This study addresses COVID-19 testing as a nonlinear sampling problem, aiming to uncover
the dependence of the true infection count in the population on COVID-19 testing metrics …
the dependence of the true infection count in the population on COVID-19 testing metrics …
Exploring COVID-19 vaccine sentiment: a Twitter-based analysis of text processing and machine learning approaches
BS Khalaf, H Hamdan, N Manshor - Bulletin of Electrical Engineering and …, 2024 - beei.org
In the wake of the 2020 coronavirus disease (COVID-19) pandemic, the swift development
and deployment of vaccines marked a critical juncture, necessitating an understanding of …
and deployment of vaccines marked a critical juncture, necessitating an understanding of …
深度聚类算法在SuperDARN 雷达目标回波分类中的应用
孔星， 刘二小， 陈烽聚， 乔磊 - 空间科学学报, 2024 - cjss.ac.cn
SuperDARN 雷达目标回波中通常包含多种类型散射的回波, 例如电离层不规则体回波,
地面/海面散射回波, 极区中层夏季回波以及流星余迹回波等. 利用SuperDARN …
地面/海面散射回波, 极区中层夏季回波以及流星余迹回波等. 利用SuperDARN …
Deep reinforcement learning for QoS-driven cloud healthcare services selection: A framework and performance evaluation
L Wang, Z Ni - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
In recent years, the smart city concept has become popular due to its ability to improve the
quality of life for urban residents. Smart community, smart transportation, and smart …
quality of life for urban residents. Smart community, smart transportation, and smart …
Aspect-Based Sentiment Analysis for Enhanced Understanding of'Kemenkeu'Tweets
The perceptions and expressions shared by the public on social media play a crucial role in
shaping the reputation of government institutions, such as the Ministry of Finance MOF …
shaping the reputation of government institutions, such as the Ministry of Finance MOF …
Fine-Grained Sentiment Analysis Tasks Guided by Domain Knowledge
J Li, P Li - International Conference on Artificial Intelligence in …, 2023 - Springer
Abstract Aspect-Based Sentiment Analysis (ABSA) analyzes the emotion distribution of text
from aspect feature granularity. In the previous ABSA task, only the emotion polarity …
from aspect feature granularity. In the previous ABSA task, only the emotion polarity …