Recommender systems based on graph embedding techniques: A review

Y Deng - IEEE Access, 2022 - ieeexplore.ieee.org
As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …

Hybrid deep learning models for sentiment analysis

CN Dang, MN Moreno-García, F De la Prieta - Complexity, 2021 - Wiley Online Library
Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …

A review of truck driver persona construction for safety management

H Li, W Wang, Y Yao, X Zhao, X Zhang - Accident Analysis & Prevention, 2024 - Elsevier
The trucking industry urgently requires comprehensive methods to evaluate driver safety,
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …

A tweet sentiment classification approach using a hybrid stacked ensemble technique

B Gaye, D Zhang, A Wulamu - Information, 2021 - mdpi.com
With the extensive availability of social media platforms, Twitter has become a significant
tool for the acquisition of peoples' views, opinions, attitudes, and emotions towards certain …

Sentimen Analisis Pengguna Twitter pada Event Flash Sale Menggunakan Algoritma K-NN, Random Forest, dan Naive Bayes

A Wandani, F Fauziah… - J-SAKTI (Jurnal Sains …, 2021 - ejurnal.tunasbangsa.ac.id
Dalam dunia e-commerce terdapat sistem penjualan yang disebut Flash Sale. Pada
dasarnya konsep dari Flash Sale yaitu memberikan tawaran harga yang lebih rendah dan …

Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era

ON Akande, MO Lawrence, P Ogedebe - Journal of Electrical Systems and …, 2023 - Springer
Background Social media platforms, especially Twitter, have turned out to be a major source
of data repositories. They have become a platform that citizens can use to voice their …

Analyzing the effect of negation in sentiment polarity of facebook dialectal arabic text

S Kaddoura, M Itani, C Roast - Applied Sciences, 2021 - mdpi.com
With the increase in the number of users on social networks, sentiment analysis has been
gaining attention. Sentiment analysis establishes the aggregation of these opinions to inform …

[HTML][HTML] Identifying X (Formerly Twitter) Posts Relevant to Dementia and COVID-19: Machine Learning Approach

M Azizi, AA Jamali, RJ Spiteri - JMIR Formative Research, 2024 - formative.jmir.org
Background During the pandemic, patients with dementia were identified as a vulnerable
population. X (formerly Twitter) became an important source of information for people …

Removing AI's sentiment manipulation of personalized news delivery

C Wu, F Wu, T Qi, WQ Zhang, X Xie… - Humanities and Social …, 2022 - nature.com
Artificial intelligence (AI) is empowering personalized online news delivery to accommodate
people's information needs and combat information overload. However, AI models learned …

Guiding environmental messaging by quantifying the effect of extreme weather events on public discourse surrounding anthropogenic climate change

A Noviello, S Menghani, S Choudhri… - … climate, and society, 2023 - journals.ametsoc.org
Anthropogenic climate change promises to bring existential changes to human society in the
coming years. One such example of these changes is the increasing frequency of extreme …