Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
A review of the trends and challenges in adopting natural language processing methods for education feedback analysis
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …
business and research domains. Machine learning, deep learning, and natural language …
Machine and cognitive intelligence for human health: systematic review
Brain informatics is a novel interdisciplinary area that focuses on scientifically studying the
mechanisms of human brain information processing by integrating experimental cognitive …
mechanisms of human brain information processing by integrating experimental cognitive …
Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content
The COVID-19 infection, which began in December 2019, has claimed many lives and
impacted all aspects of human life. With time, COVID-19 was identified as a pandemic …
impacted all aspects of human life. With time, COVID-19 was identified as a pandemic …
[PDF][PDF] Machine learning approach for COVID-19 detection on twitter
Social networking services (SNSs) provide massive data that can be a very influential
source of information during pandemic outbreaks. This study shows that social media …
source of information during pandemic outbreaks. This study shows that social media …
Early detection of seasonal outbreaks from twitter data using machine learning approaches
Seasonal outbreaks have several different periods that occur primarily during winter in
temperate regions, while influenza may occur throughout the year in tropical regions …
temperate regions, while influenza may occur throughout the year in tropical regions …
[HTML][HTML] Insights of strength and weakness of evolving methodologies of sentiment analysis
MBN Taj, GS Girisha - Global Transitions Proceedings, 2021 - Elsevier
With every business process and organization being more concerned about adopting the
latest technology towards understanding the success rate and risk associated with the …
latest technology towards understanding the success rate and risk associated with the …
CNO-LSTM: A chaotic neural oscillatory long short-term memory model for text classification
N Shi, Z Chen, L Chen, RST Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Long Short-Term Memory (LSTM) networks are unique to exercise data in its memory cell
with long-term memory as Natural Language Processing (NLP) tasks have inklings of …
with long-term memory as Natural Language Processing (NLP) tasks have inklings of …
Optimizing Convolutional Neural Networks with Transfer Learning for Making Classification Report in COVID‐19 Chest X‐Rays Scans
The coronavirus disease (COVID‐19) outbreak, which began in December 2019, has
claimed numerous lives and impacted all aspects of human life. COVID‐19 was deemed an …
claimed numerous lives and impacted all aspects of human life. COVID‐19 was deemed an …
Trends in outbreak detection in early stage by using machine learning approaches
COVID-19 pandemic affecting the whole world, reveals the importance of the studies that
trying to detect the outbreaks in early stage. If any outbreak can be detected in an early …
trying to detect the outbreaks in early stage. If any outbreak can be detected in an early …