Text classification techniques: A literature review
M Thangaraj, M Sivakami - Interdisciplinary journal of …, 2018 - search.proquest.com
Text Classification Techniques: A Literature Review Page 1 Volume 13, 2018 Accepted by
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Challenges and advances in information extraction from scientific literature: a review
Scientific articles have long been the primary means of disseminating scientific discoveries.
Over the centuries, valuable data and potentially groundbreaking insights have been …
Over the centuries, valuable data and potentially groundbreaking insights have been …
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
HT Tor, CP Ooi, NSJ Lim-Ashworth, JKE Wei… - Computer Methods and …, 2021 - Elsevier
Background and objectives Attention deficit hyperactivity disorder (ADHD) is often presented
with conduct disorder (CD). There is currently no objective laboratory test or diagnostic …
with conduct disorder (CD). There is currently no objective laboratory test or diagnostic …
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Background The most prevalent neuropsychiatric disorder among children is attention deficit
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
[PDF][PDF] Multi-class document classification using support vector machine (SVM) based on improved Naïve bayes vectorization technique
At present several vectorization approaches are used to transform text documents into a
numerical format. A huge number of features converted from text data from a single …
numerical format. A huge number of features converted from text data from a single …
[PDF][PDF] Prediction of Public Procurement Corruption Indices using Machine Learning Methods.
K Rabuzin, N Modrusan - KMIS, 2019 - pdfs.semanticscholar.org
The protection of citizens' public financial resources through advanced corruption detection
models in public procurement has become an almost inevitable topic and the subject of …
models in public procurement has become an almost inevitable topic and the subject of …
[HTML][HTML] Investigating the relevance of Arabic text classification datasets based on supervised learning
AH Ababneh - Journal of Electronic Science and Technology, 2022 - Elsevier
Training and testing different models in the field of text classification mainly depend on the
pre-classified text document datasets. Recently, seven datasets have emerged for Arabic …
pre-classified text document datasets. Recently, seven datasets have emerged for Arabic …
Comparative study of Arabic text classification using feature vectorization methods
Abstract Arabic Text Classification (ATC) also known Arabic text categorization is the task of
assigning categories to Arabic documents based on their contents. It is mostly used for …
assigning categories to Arabic documents based on their contents. It is mostly used for …
Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication …
V Balasubramanian, S Vivekanandhan… - Medical & biological …, 2022 - Springer
Efficient remote monitoring of the patient infected with coronavirus without spread to
healthcare workers is the need of the hour. An effectual and faster communication system …
healthcare workers is the need of the hour. An effectual and faster communication system …
Impact of fireworks industry safety measures and prevention management system on human error mitigation using a machine learning approach
In the fireworks industry (FI), many accidents and explosions frequently happen due to
human error (HE). Human factors (HFs) always play a dynamic role in the incidence of …
human error (HE). Human factors (HFs) always play a dynamic role in the incidence of …