Text classification based on convolutional neural networks and word embedding for low-resource languages: Tigrinya
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 …
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 …
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 …
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 …
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
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 …
companies to interact with consumers. Social media-based decision support systems for the …
Malicious text identification: deep learning from public comments and emails
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 …
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 …
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
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 …
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 …
real-world applications which forms smart environment through internet connectivity at …
Multi-Label Classification with Deep Learning for Retail Recommendation
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 …
because it determines the likelihood of favourable return on investment. One common …