A lexicon-based approach to detecting suicide-related messages on Twitter

SM Sarsam, H Al-Samarraie, AI Alzahrani… - … Signal Processing and …, 2021 - Elsevier
Expression of emotion is an indicator that can contribute to the detection of mental health-
related disorders. Suicide causes death to many people around the globe, and despite the …

Android malware detection applying feature selection techniques and machine learning

MR Keyvanpour, M Barani Shirzad… - Multimedia Tools and …, 2023 - Springer
Android operating system is known as one of the most popular mobile operating systems.
The malware intrusion increases in the same pace as the production of applicable software …

Text mining approaches for postmarket food safety surveillance using online media

DM Goldberg, S Khan, N Zaman, RJ Gruss… - Risk …, 2022 - Wiley Online Library
Food contamination and food poisoning pose enormous risks to consumers across the
world. As discussions of consumer experiences have spread through online media, we …

[HTML][HTML] Enhancing representation in the context of multiple-channel spam filtering

M Novo-Loures, D Ruano-Ordas, R Pavon… - Information Processing …, 2022 - Elsevier
This study addresses the usage of different features to complement synset-based and bag-of-
words representations of texts in the context of using classical ML approaches for spam …

Semisupervised manifold regularization via a subnetwork-based representation learning model

W Zhang, QMJ Wu, Y Yang - IEEE transactions on cybernetics, 2022 - ieeexplore.ieee.org
Semisupervised classification with a few labeled training samples is a challenging task in
the area of data mining. Moore–Penrose inverse (MPI)-based manifold regularization (MR) …

[HTML][HTML] An auto-adjustable semi-supervised self-training algorithm

IE Livieris, A Kanavos, V Tampakas, P Pintelas - Algorithms, 2018 - mdpi.com
Semi-supervised learning algorithms have become a topic of significant research as an
alternative to traditional classification methods which exhibit remarkable performance over …

Statistical geometric components of straight lines (SGCSL) feature extraction method for offline Arabic/Persian handwritten words recognition

R Tavoli, M Keyvanpour, S Mozaffari - IET Image Processing, 2018 - Wiley Online Library
In this study, the authors present a new feature extraction method for handwritten
Arabic/Persian language word recognition. This feature is based on the angle, number …

Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience

A Balakrishnan, SM Idicula… - Health Informatics …, 2021 - journals.sagepub.com
Online health communities (OHC) provide various opportunities for patients with chronic or
life-threatening illnesses, especially for cancer patients and survivors. A better …

[HTML][HTML] Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study

B Athira, J Jones, SM Idicula, A Kulanthaivel… - Journal of Big Data, 2021 - Springer
The widespread influence of social media impacts every aspect of life, including the
healthcare sector. Although medics and health professionals are the final decision makers …

[HTML][HTML] Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction

X Cheng, J Qu, S Song, Z Bian - PeerJ, 2022 - peerj.com
Background Efficient identification of microbe-drug associations is critical for drug
development and solving problem of antimicrobial resistance. Traditional wet-lab method …