A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …
stored in free-text format. Natural language processing (NLP) has been used to extract …
Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …
Machine learning based energy management model for smart grid and renewable energy districts
The combination of renewable energy sources and prosumer-based smart grid is a
sustainable solution to cater to the problem of energy demand management. A pressing …
sustainable solution to cater to the problem of energy demand management. A pressing …
Deep learning-based extraction of algorithmic metadata in full-text scholarly documents
The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …
effective retrieval of massive textual information in a resource-efficient manner. However …
Deep sentiments in roman urdu text using recurrent convolutional neural network model
Although over 64 million people worldwide speak Urdu language and are well aware of its
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Sentiment analysis for Urdu online reviews using deep learning models
Most existing studies are focused on popular languages like English, Spanish, Chinese,
Japanese, and others, however, limited attention has been paid to Urdu despite having …
Japanese, and others, however, limited attention has been paid to Urdu despite having …
Measuring the scale and scope of social anxiety among students in Pakistani higher education institutions: An alternative social anxiety scale
Social Anxiety Disorder (SAD) is neither just shyness, nor for most victims does it merely
involve an inability to speak in public. For most sufferers of this disorder, it could be a …
involve an inability to speak in public. For most sufferers of this disorder, it could be a …
An efficient framework for algorithmic metadata extraction over scholarly documents using deep neural networks
The conventional text documents have made it possible to efficiently retrieve large amounts
of text data with the development of various search engines. However, these traditional …
of text data with the development of various search engines. However, these traditional …
Sentiment analysis of tweets through Altmetrics: A machine learning approach
The purpose of the study is to (a) contribute to annotating an Altmetrics dataset across five
disciplines,(b) undertake sentiment analysis using various machine learning and natural …
disciplines,(b) undertake sentiment analysis using various machine learning and natural …
Linking work-family conflict (WFC) and talent management: Insights from a develo** country
Considering the profound societal change taking place in several develo** countries, the
objective of this paper is to reflect on work-family conflict (WFC) both as a concept and a …
objective of this paper is to reflect on work-family conflict (WFC) both as a concept and a …