[PDF][PDF] BERT-CNN: A Deep Learning Model for Detecting Emotions from Text.
Due to the widespread usage of social media in our recent daily lifestyles, sentiment
analysis becomes an important field in pattern recognition and Natural Language …
analysis becomes an important field in pattern recognition and Natural Language …
A critical review on sentiment analysis techniques
Social media and other online forums are the platforms that have given people the voice to
shape their views and opinion in regards to a specific subject. The data collected from such …
shape their views and opinion in regards to a specific subject. The data collected from such …
[Retracted] Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning
M Sun, L Wang - Emergency medicine international, 2022 - Wiley Online Library
With the rapid development of society and economy, people's living standards are improving
day by day, and increasingly attention is paid to physical health, which has set off a fitness …
day by day, and increasingly attention is paid to physical health, which has set off a fitness …
Deep Contextualised Text Representation and Learning for Sarcasm Detection
These days, the world has become a non-denominational place due to cyberspace. Digital
services such as search portals and social platforms have become intricate with the regular …
services such as search portals and social platforms have become intricate with the regular …
Detection of Sarcasm in Urdu Tweets using Deep Learning and Transformer based Hybrid Approaches
Sarcasm has a significant role in human communication especially on social media
platforms where users express their sentiments through humor, satire, and criticism. The …
platforms where users express their sentiments through humor, satire, and criticism. The …
Feature based opinion analysis on social media tweets with association rule mining and multi‐objective evolutionary algorithms
SR Meesala, S Subramanian - Concurrency and Computation …, 2022 - Wiley Online Library
Social media platform has achieved wide popularity in presenting the user‐generated
information online. The proliferation of user‐generated content through social networking …
information online. The proliferation of user‐generated content through social networking …
Exploring conditional text generation for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is an NLP task that entails processing user-
generated reviews to determine (i) the target being evaluated,(ii) the aspect category to …
generated reviews to determine (i) the target being evaluated,(ii) the aspect category to …
Running a Sustainable Social Media Business: The Use of Deep Learning Methods in Online-Comment Short Texts
W Lin, Q Zhang, YJ Wu, TC Chen - Sustainability, 2023 - mdpi.com
With the prevalence of the Internet in society, social media has considerably altered the
ways in which consumers conduct their daily lives and has gradually become an important …
ways in which consumers conduct their daily lives and has gradually become an important …
A study on diverse methods and performance measures in sentiment analysis
With the vast development of Internet technology 2.0, millions of people share their opinions
on different social networking sites. To obtain the necessary information from the large …
on different social networking sites. To obtain the necessary information from the large …
Meta heuristic approaches for sentiment analysis
On the Internet, online microblogging and social networks have experienced tremendous
growth. Millions of individuals share opinions on social networking platforms including …
growth. Millions of individuals share opinions on social networking platforms including …