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[HTML][HTML] Covid-19 public sentiment insights and machine learning for tweets classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
When public health emergencies occur, a large amount of low-credibility information is
widely disseminated by social bots, and public sentiment is easily manipulated by social …
widely disseminated by social bots, and public sentiment is easily manipulated by social …
On the frontiers of Twitter data and sentiment analysis in election prediction: a review
Election prediction using sentiment analysis is a rapidly growing field that utilizes natural
language processing and machine learning techniques to predict the outcome of political …
language processing and machine learning techniques to predict the outcome of political …
Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period
In a time where social media is fundamental for any political campaign and to share a
message with an electoral audience, this study searches for a conclusion of the actual …
message with an electoral audience, this study searches for a conclusion of the actual …
[HTML][HTML] Why do people accept or reject climate policies targeting food consumption? Unpacking justifications in the public debate in online social forums
A shift in dietary habits will be required to meet global climate targets. However, from a
social dilemma perspective, major voluntary shifts in diet patterns are unlikely. Hence …
social dilemma perspective, major voluntary shifts in diet patterns are unlikely. Hence …
Effects of motivation to use social networking sites on students' media literacy and critical thinking
Participation in social networking sites offers many potential benefits for university students.
Online interaction on these sites provides various opportunities for them to learn and …
Online interaction on these sites provides various opportunities for them to learn and …
Unscramble social media power for waste management: A multilayer deep learning approach
Abstract In an industry 4.0 era, manufacturers must make the right decisions concerning
reutilizing and recycling returned goods to lower waste by connecting and integrating …
reutilizing and recycling returned goods to lower waste by connecting and integrating …
Intelligent hybrid feature selection for textual sentiment classification
Sentiment Analysis (SA) aims to extract useful information from online Unstructured User-
Generated Contents (UUGC) and classify them into positive and negative classes. State-of …
Generated Contents (UUGC) and classify them into positive and negative classes. State-of …
Prediction of Indonesian presidential candidates in 2024 using sentiment analysis and text search on Twitter
This study aims to show whether Twitter analysis can predict and forecast candidates in the
Indonesian presidential election in 2024. This study was conducted long before the election …
Indonesian presidential election in 2024. This study was conducted long before the election …