Deep learning and big data in healthcare: a double review for critical beginners
L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …
large amounts of data often available in organizations, which has been both scrutinized by …
Arabic aspect-based sentiment analysis: A systematic literature review
Recently sentiment analysis in Arabic has attracted much attention from researchers. A
modest number of studies have been conducted on Arabic sentiment analysis. However …
modest number of studies have been conducted on Arabic sentiment analysis. However …
Based on billions of words on the internet, people = men
Recent advances have made it possible to precisely measure the extent to which any two
words are used in similar contexts. In turn, this measure of similarity in linguistic context also …
words are used in similar contexts. In turn, this measure of similarity in linguistic context also …
Systematic literature review of dialectal Arabic: identification and detection
It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …
Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings
Among the myriad of technical approaches and abstract guidelines proposed to the topic of
AI bias, there has been an urgent call to translate the principle of fairness into the …
AI bias, there has been an urgent call to translate the principle of fairness into the …
Towards explainable prediction feedback messages using BERT
Educational feedback is a crucial factor in the student's learning journey, as through it,
students are able to identify their areas of deficiencies and improve self-regulation …
students are able to identify their areas of deficiencies and improve self-regulation …
A deep-learning-based grading system (ASAG) for reading comprehension assessment by using aphorisms as open-answer-questions
ID Mardini G, CG Quintero M, CA Viloria N… - Education and …, 2024 - Springer
Today reading comprehension is considered an essential skill in modern life, therefore,
higher education students require more specific skills to understand, interpret and evaluate …
higher education students require more specific skills to understand, interpret and evaluate …
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding
We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …
consider a citation-based approach. We start with some popular and well-known papers that …
Classifying mobile applications using word embeddings
Modern application stores enable developers to classify their apps by choosing from a set of
generic categories, or genres, such as health, games, and music. These categories are …
generic categories, or genres, such as health, games, and music. These categories are …
Comparing hierarchical approaches to enhance supervised emotive text classification
The performance of emotive text classification using affective hierarchical schemes (eg,
WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the …
WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the …