Dual emotion based fake news detection: A deep attention-weight update approach
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …
environment. This phenomenon requires automated detection of fake news to reduce its …
Exploration of social media for sentiment analysis using deep learning
LC Chen, CM Lee, MY Chen - Soft Computing, 2020 - Springer
With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …
mining or sentiment analysis of text have started receiving attention from government …
[HTML][HTML] Exploiting textual and relationship information for fine-grained financial sentiment analysis
T Daudert - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis aims to identify the way in which sentiments are expressed in texts. State-
of-the-art approaches base their analyses solely on the given text, which complicates the …
of-the-art approaches base their analyses solely on the given text, which complicates the …
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …
on social media platforms is of paramount importance for effective disaster response and …
Supply chain insights from social media users' responses to panic buying during COVID-19: The herd mentality
Purpose This study applied the herd mentality theory to explore local and global social
media users' responses to panic buying across the USA, UK and Australia during the COVID …
media users' responses to panic buying across the USA, UK and Australia during the COVID …
Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months
Using Plutchik's wheel of emotions framework, we identify the emotional content of 133,487
social media posts and the audience's emotional engagement expressed in 2,824,162 …
social media posts and the audience's emotional engagement expressed in 2,824,162 …
KisanQRS: A deep learning-based automated query-response system for agricultural decision-making
Delivering prompt information and guidance to farmers is critical in agricultural decision-
making. Farmers' helpline centres are heavily reliant on the expertise and availability of call …
making. Farmers' helpline centres are heavily reliant on the expertise and availability of call …
[PDF][PDF] The Linguistic Landscape of" Controversial": Sentiment and Theme Distribution Insights.
EG Grishechko - GEMA Online Journal of Language Studies, 2024 - journalarticle.ukm.my
The language used to frame controversial topics on social media has profound implications
for public discourse and opinion formation, warranting a close examination of their sentiment …
for public discourse and opinion formation, warranting a close examination of their sentiment …
Sentiment analysis on newspaper article reviews: contribution towards improved rider optimization-based hybrid classifier
Purpose Up to date development in sentiment analysis has resulted in a symbolic growth in
the volume of study, especially on more subjective text types, namely, product or movie …
the volume of study, especially on more subjective text types, namely, product or movie …
Closer economic distance makes positive carbon-related attitude: Evidence from the mechanism of sentiment tendency in worldwide news coverage of India
C Sun, B Wu - Energy Policy, 2024 - Elsevier
Distance can influence the emotional attitudes of media coverage in different countries. To
effectively promote climate cooperation between countries, it is crucial to understand the …
effectively promote climate cooperation between countries, it is crucial to understand the …