Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review
Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …
analysis; it plays an important role in a wide range of applications and has been receiving …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets
Abstract Undoubtedly, coronavirus (COVID-19) has caused one of the biggest challenges of
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …
Transformer based deep intelligent contextual embedding for twitter sentiment analysis
Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …
democratized content creation due to the extensive use of social media and has resulted in …
A review on the trends in event detection by analyzing social media platforms' data
Social media platforms have many users who share their thoughts and use these platforms
to organize various events collectively. However, different upsetting incidents have occurred …
to organize various events collectively. However, different upsetting incidents have occurred …
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter
Pre-processing plays an essential role in disambiguating the meaning of short-texts, not only
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
Knowledge-preserving incremental social event detection via heterogeneous gnns
Social events provide valuable insights into group social behaviors and public concerns and
therefore have many applications in fields such as product recommendation and crisis …
therefore have many applications in fields such as product recommendation and crisis …
ETCNN: extra tree and convolutional neural network-based ensemble model for COVID-19 tweets sentiment classification
Pandemics influence people negatively and people experience fear and disappointment.
With the global outspread of COVID-19, the sentiments of the general public are …
With the global outspread of COVID-19, the sentiments of the general public are …
[HTML][HTML] Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers
Social Media today has become the most relevant and affordable platform to express one's
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
A survey on narrative extraction from textual data
Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …
fundamental way of communication between people. Computational understanding of the …