Survey on supervised machine learning techniques for automatic text classification

AI Kadhim - Artificial intelligence review, 2019 - Springer
Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …

Surveillance of communicable diseases using social media: A systematic review

P Pilipiec, I Samsten, A Bota - PLoS One, 2023 - journals.plos.org
Background Communicable diseases pose a severe threat to public health and economic
growth. The traditional methods that are used for public health surveillance, however …

Term weighting for feature extraction on Twitter: A comparison between BM25 and TF-IDF

AI Kadhim - … international conference on advanced science and …, 2019 - ieeexplore.ieee.org
Feature extraction is to transform a text document from any format into a list of features that
can be easily processed by text classification techniques. Feature extraction is one of …

Utilizing social media and machine learning for personality and emotion recognition using PERS

FM Talaat, EM El-Gendy, MM Saafan… - Neural Computing and …, 2023 - Springer
Personality reflects how people can behave in different situations and affects their decisions.
Analyzing personality is useful in many fields, for example in the prediction of performance …

[PDF][PDF] Early Alzheimer's Disease Detection Using Different Techniques Based on Microarray Data: A Review.

ST Ahmed, SM Kadhem - International Journal of Online & …, 2022 - researchgate.net
Alzheimer's Disease (AD) is a degenerative disease of the brain that results in memory loss
due to the death of brain cells. Alzheimer's disease is more common as people get older …

Using machine learning for pharmacovigilance: a systematic review

P Pilipiec, M Liwicki, A Bota - Pharmaceutics, 2022 - mdpi.com
Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug
reactions to existing medicines. Traditional approaches in this field can be expensive and …

Web news mining in an evolving framework

JA Iglesias, A Tiemblo, A Ledezma, A Sanchis - Information Fusion, 2016 - Elsevier
Online news has become one of the major channels for Internet users to get news. News
websites are daily overwhelmed with plenty of news articles. Huge amounts of online news …

Arabic text categorization algorithm using vector evaluation method

A Odeh, A Abu-Errub, Q Shambour, N Turab - arXiv preprint arXiv …, 2015 - arxiv.org
Text categorization is the process of grouping documents into categories based on their
contents. This process is important to make information retrieval easier, and it became more …

Multimodal Fast–Slow Neural Network for learning engagement evaluation

L Zhang, JL Hung, X Du, H Li, Z Hu - Data Technologies and …, 2023 - emerald.com
Purpose Student engagement is a key factor that connects with student achievement and
retention. This paper aims to identify individuals' engagement automatically in the classroom …

English poems categorization using text mining and rough set theory

SA Alsaidi, AT Sadeq, HS Abdullah - Bulletin of Electrical Engineering and …, 2020 - beei.org
Abstract In recent years, Text Mining wasan important topic because of the growth of digital
text data from many sources such as government document, Email, Social Media, Website …