Defining digital fashion: Reshaping the field via a systematic review
The field of digital fashion is rapidly evolving, yet what constitutes digital fashion, and how it
should be defined has not been firmly established. This study aims to conceptualize and …
should be defined has not been firmly established. This study aims to conceptualize and …
A review of semi-supervised learning for text classification
JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …
related to text mining, especially text classification. To perform this task we usually need a …
Hate speech detection on Twitter using transfer learning
Social Media has become an ultimate driver of social change in the global society.
Implications of the events, that take place in one corner of the word, reverberate across the …
Implications of the events, that take place in one corner of the word, reverberate across the …
[HTML][HTML] Analytics of machine learning-based algorithms for text classification
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …
automatically sorted into a predefined set of classes. The application of text classification is …
Identifying fake news on social networks based on natural language processing: trends and challenges
The epidemic spread of fake news is a side effect of the expansion of social networks to
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …
Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …
defined text categories using some machine learning algorithms. Normally, it defines the …
A systematic study on reinforcement learning based applications
K Sivamayil, E Rajasekar, B Aljafari, S Nikolovski… - Energies, 2023 - mdpi.com
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …
capable of performing a wide range of tasks, including answering questions, offering …
A roadmap towards energy‐efficient data fusion methods in the Internet of Things
B Pourghebleh, N Hekmati… - Concurrency and …, 2022 - Wiley Online Library
Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …