15   Artículos

 
en línea
Naglaa Abdelhady, Ibrahim E. Elsemman, Mohammed F. Farghally and Taysir Hassan A. Soliman    
Due to the widespread distribution of coronavirus and the existence of a massive quantity of data on social networking sites, particularly Twitter, there was an urgent need to develop a model that evaluates users? emotions and determines how they feel ab... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jeffery T. H. Kong, Filbert H. Juwono, Ik Ying Ngu, I. Gde Dharma Nugraha, Yan Maraden and W. K. Wong    
Social media has evolved into a platform for the dissemination of information, including fake news. There is a lot of false information about the current situation of the Coronavirus Disease 2019 (COVID-19) pandemic, such as false information regarding v... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Muhammad Atif and Valentina Franzoni    
Users of web or chat social networks typically use emojis (e.g., smilies, memes, hearts) to convey in their textual interactions the emotions underlying the context of the communication, aiming for better interpretability, especially for short polysemous... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Jin Sol Yang, Myung-Sook Ko and Kwang Sik Chung    
Nowadays, based on mobile devices and internet, social network services (SNS) are common trends to everyone. Social opinions as public opinions are very important to the government, company, and a person. Analysis and decision of social polarity of SNS a... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Debby Alita,Sigit Priyanta,Nur Rokhman     Pág. 100 - 109
Background: Indonesia is an active Twitter user that is the largest ranked in the world. Tweets written by Twitter users vary, from tweets containing positive to negative responses. This agreement will be utilized by the parties concerned for evaluation.... ver más

 
en línea
Jurgita Kapociute-Dzikiene, Robertas Dama?evicius and Marcin Wozniak    
We describe the sentiment analysis experiments that were performed on the Lithuanian Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial?NBM and Support Vector Machine?SVM) and deep learning (Long Short-Term Memory?LSTM a... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Ari Fatihatul Hidayah, Agus Wahyudin, Muhsin Muhsin     Pág. 112 - 119
Impulsive buying is a psychoemonic phenomenon that happened to many people's lives in urban areas, especially to teenagers. This is because teens are easily influenced by advertising, lacks frugal thinking, less realistic and impulsive. This study aims t... ver más
Revista: Journal of Economic Education    Formato: Electrónico

 
en línea
Yun-Fei Jia, Shan Li and Renbiao Wu    
Based on Web 2.0 technology, more and more people tend to express their attitude or opinions on the Internet. Radical ideas, rumors, terrorism, or violent contents are also propagated on the Internet, causing several incidents of social panic every year ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Andrej Ko?ir and Gregor Strle    
This paper presents an experimental study on modeling machine emotion elicitation in a socially intelligent service, the typing tutor. The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective sta... ver más
Revista: Computers    Formato: Electrónico

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