State of Industry 5.0—Analysis and identification of current research trends

A Akundi, D Euresti, S Luna, W Ankobiah… - Applied System …, 2022 - mdpi.com
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of
automation for operational productivity and efficiency by connecting virtual and physical …

Analysis of caregiver burden in palliative care: An integrated review

S Choi, JY Seo - Nursing forum, 2019 - Wiley Online Library
The inclusion of caregivers in a holistic care approach represents a basic principle in
palliative care. However, many palliative care professionals have a lack of understanding of …

Recent automatic text summarization techniques: a survey

M Gambhir, V Gupta - Artificial Intelligence Review, 2017 - Springer
As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

Ensemble of keyword extraction methods and classifiers in text classification

A Onan, S Korukoğlu, H Bulut - Expert Systems with Applications, 2016 - Elsevier
Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

A survey of automatic text summarization: Progress, process and challenges

MF Mridha, AA Lima, K Nur, SC Das, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Predicting students' performance using ID3 and C4. 5 classification algorithms

K Adhatrao, A Gaykar, A Dhawan, R Jha… - arXiv preprint arXiv …, 2013 - arxiv.org
An educational institution needs to have an approximate prior knowledge of enrolled
students to predict their performance in future academics. This helps them to identify …

Automatic text summarization using a machine learning approach

JL Neto, AA Freitas, CAA Kaestner - … , SBIA 2002 Porto de Galinhas/Recife …, 2002 - Springer
In this paper we address the automatic summarization task. Recent research works on
extractive-summary generation employ some heuristics, but few works indicate how to select …

The psychological, computational, and neural foundations of indebtedness

X Gao, E Jolly, H Yu, H Liu, X Zhou… - Nature Communications, 2024 - nature.com
Receiving a favor from another person may induce a negative feeling of indebtedness for
the beneficiary. In this study, we explore these hidden costs by developing and validating a …

Towards accurate detection of offensive language in online communication in arabic

A Alakrot, L Murray, NS Nikolov - Procedia computer science, 2018 - Elsevier
We present the results of predictive modelling for the detection of anti-social behaviour in
online communication in Arabic, such as comments which contain obscene or offensive …

Document processing: Methods for semantic text similarity analysis

AW Qurashi, V Holmes… - … on INnovations in …, 2020 - ieeexplore.ieee.org
The document text similarity measurement and analysis is a growing application of Natural
Language Processing. This paper presents the results of using different techniques for …