[HTML][HTML] A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments
Abstract As technology advances, Facebook, Twitter, and microblogging sites have become
the most effective platforms for communication and information exchange. Through these …
the most effective platforms for communication and information exchange. Through these …
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Abstract Coronavirus (COVID-19) is a newly discovered viral disease from the SARS-CoV-2
family. This has caused a moral panic resulting in the spread of informative and …
family. This has caused a moral panic resulting in the spread of informative and …
[HTML][HTML] Soft computing techniques for forecasting of COVID-19 in Pakistan
Novel Pandemic COVID-19 led globally to severe health barriers and financial issues in
different parts of the world. The forecast on COVID-19 infections is significant. Demeanor …
different parts of the world. The forecast on COVID-19 infections is significant. Demeanor …
Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic
The spreading COVID-19 misinformation over social media already draws the attention of
many researchers. According to Google Scholar, about 26000 COVID-19 related …
many researchers. According to Google Scholar, about 26000 COVID-19 related …
Changes in public sentiment under the background of major emergencies—taking the Shanghai epidemic as an example
B Zhang, J Lin, M Luo, C Zeng, J Feng, M Zhou… - International journal of …, 2022 - mdpi.com
The occurrence of major health events can have a significant impact on public mood and
mental health. In this study, we selected Shanghai during the 2019 novel coronavirus …
mental health. In this study, we selected Shanghai during the 2019 novel coronavirus …
[HTML][HTML] XAI-SALPAD: Explainable deep learning techniques for Saudi Arabia license plate automatic detection
In recent decades, automatic license plate recognition (ALPR) has emerged as a critical
application of artificial intelligence in intelligent transportation systems (ITS), addressing a …
application of artificial intelligence in intelligent transportation systems (ITS), addressing a …
Exploring COVID-19 Vaccine Hesitancy Through Topic Modeling: A Systematic Literature Review
T Hariscandra, SH Utami… - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
The spotlight on Vaccine Hesitancy has intensified since the onset of the Covid-19
pandemic in 2020. This issue involves crucial aspects such as assessing vaccine efficacy …
pandemic in 2020. This issue involves crucial aspects such as assessing vaccine efficacy …
DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition
Abstract Machines can be equipped with the capability of identifying human emotions
through conversation, thus enabling them to empathize with natural persons when they …
through conversation, thus enabling them to empathize with natural persons when they …
Gated relational encoder-decoder model for target-oriented opinion word extraction
Target-Oriented Opinion Word Extraction (TOWE) is a challenging information extraction
task that aims to find the opinion words corresponding to given opinion targets in text. To …
task that aims to find the opinion words corresponding to given opinion targets in text. To …
Sentiment Analyst on Twitter Using the K-Nearest Neighbors (KNN) Algorithm Against Covid-19 Vaccination
S Suprayogi, CA Sari… - Journal of Applied …, 2022 - publikasi2.dinus.ac.id
Abstract The corona virus (2019-nCoV), commonly known as COVID-19 has been officially
designated as a global pandemic by the WHO. Twitter, is one of the social media used by …
designated as a global pandemic by the WHO. Twitter, is one of the social media used by …