Text classification based on convolutional neural networks and word embedding for low-resource languages: Tigrinya

A Fesseha, S Xiong, ED Emiru, M Diallo, A Dahou - Information, 2021 - mdpi.com
This article studies convolutional neural networks for Tigrinya (also referred to as Tigrigna),
which is a family of Semitic languages spoken in Eritrea and northern Ethiopia. Tigrinya is a …

Natural language processing to extract meaningful information from patient experience feedback

K Nawab, G Ramsey, R Schreiber - Applied Clinical Informatics, 2020 - thieme-connect.com
Background Due to reimbursement tied in part to patients' perception of their care, hospitals
continue to stress obtaining patient feedback and understanding it to plan interventions to …

[PDF][PDF] Artificial neural networks based integrated crop recommendation system using soil and climatic parameters

J Madhuri, M Indiramma - Indian Journal of Science and Technology, 2021 - academia.edu
Objective: To develop crop recommendation system depending on location specific soil and
climatic conditions. Method: The study introduces a novel recommendation system which …

[HTML][HTML] How AI can be used for governance of messaging services: A study on spam classification leveraging multi-channel convolutional neural network

G Waja, G Patil, C Mehta, S Patil - International Journal of Information …, 2023 - Elsevier
Over the past decade, there has been a meteoric evolution in Internet Messaging Services
and although these services have become ingrained in our everyday life, SMS service …

Social media-based opinion retrieval for product analysis using multi-task deep neural networks

N Gozuacik, CO Sakar, S Ozcan - Expert Systems with Applications, 2021 - Elsevier
Social media platforms are considered one of the most effective intermediaries for
companies to interact with consumers. Social media-based decision support systems for the …

Malicious text identification: deep learning from public comments and emails

A Baccouche, S Ahmed, D Sierra-Sosa, A Elmaghraby - Information, 2020 - mdpi.com
Identifying internet spam has been a challenging problem for decades. Several solutions
have succeeded to detect spam comments in social media or fraudulent emails. However …

[HTML][HTML] Security enhancement and attack detection using optimized hybrid deep learning and improved encryption algorithm over Internet of Things

V Akshaya, V Mandala, C Anilkumar, P VishnuRaja… - Measurement …, 2023 - Elsevier
Exponential increases in smart devices and reduced costs of sensors have increased
applications using IoT (Internet of Things). There has been an extensive analysis on the …

Lexicon‐pointed hybrid N‐gram Features Extraction Model (LeNFEM) for sentence level sentiment analysis

J Mutinda, W Mwangi, G Okeyo - Engineering Reports, 2021 - Wiley Online Library
Sentiment analysis of social media textual posts can provide information and knowledge that
is applicable in social settings, business intelligence, evaluation of citizens' opinions in …

Dynamic distributed generative adversarial network for intrusion detection system over internet of things

S Balaji, SS Narayanan - Wireless Networks, 2023 - Springer
Abstract The Internet of Things (IoT) intelligently facilitates individuals interacting with the
real-world applications which forms smart environment through internet connectivity at …

Multi-Label Classification with Deep Learning for Retail Recommendation

ZY Poo, CY Ting, YP Loh, KI Ghauth - Journal of Informatics and …, 2023 - mmupress.com
Selecting the right retail business for a location is crucial for the success of a business
because it determines the likelihood of favourable return on investment. One common …