Enhanced sentiment analysis regarding COVID-19 news from global channels
For a healthy society to exist, it is crucial for the media to focus on disease-related issues so
that more people are widely aware of them and reduce health risks. Recently, deep neural …
that more people are widely aware of them and reduce health risks. Recently, deep neural …
A multimodal coupled graph attention network for joint traffic event detection and sentiment classification
Traffic events are one of the main causes of traffic accidents, leading to traffic event detection
being a challenging research problem in traffic management and intelligent transportation …
being a challenging research problem in traffic management and intelligent transportation …
Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
Background Social media platforms, especially Twitter, have turned out to be a major source
of data repositories. They have become a platform that citizens can use to voice their …
of data repositories. They have become a platform that citizens can use to voice their …
Public health policy monitoring through public perceptions: a case of covid-19 tweet analysis
Since the start of the COVID-19 pandemic, government authorities have responded by
issuing new public health policies, many of which were intended to contain its spread but …
issuing new public health policies, many of which were intended to contain its spread but …
Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals
using computational methods has been a severe challenge. Anyone presenting with suicidal …
using computational methods has been a severe challenge. Anyone presenting with suicidal …
Weakly supervised discriminate enhancement network for visual sentiment analysis
Z Li, H Lu, C Zhao, L Feng, G Gu, W Chen - Artificial Intelligence Review, 2023 - Springer
Several methods employ weakly supervised technology to highlight the visual sentiment
information in images, so as to improve the performance of sentiment analysis. However, the …
information in images, so as to improve the performance of sentiment analysis. However, the …
New approaches to extract information from posts on COVID-19 published on Reddit
In the last two years, we have seen a huge number of debates and discussions on COVID-
19 in social media. Many authors have analyzed these debates on Facebook and Twitter …
19 in social media. Many authors have analyzed these debates on Facebook and Twitter …
Etma: Efficient transformer-based multilevel attention framework for multimodal fake news detection
In this new digital era, social media has created a severe impact on the lives of people. In
recent times, fake news content on social media has become one of the major challenging …
recent times, fake news content on social media has become one of the major challenging …
[PDF][PDF] A Systematic Literature Review on Topic Modelling and Sentiment Analysis
J Kunsabo, J Dobša - Central European Conference on …, 2022 - researchgate.net
The human need for organization has always existed, but due to the ever-increasing
generation of digital records, it is becoming almost necessary. With the development of …
generation of digital records, it is becoming almost necessary. With the development of …
An analytical insight of discussions and sentiments of indians on omicron-driven third wave of COVID-19
Microblogging site Twitter is one of the most crucial tool for expressing and sharing the
opinions and views of everyday life events. Many researchers have used tweets made …
opinions and views of everyday life events. Many researchers have used tweets made …