Deep learning for affective computing: Text-based emotion recognition in decision support

B Kratzwald, S Ilić, M Kraus, S Feuerriegel… - Decision support …, 2018 - Elsevier
Emotions widely affect human decision-making. This fact is taken into account by affective
computing with the goal of tailoring decision support to the emotional states of individuals …

[HTML][HTML] Measuring the outreach efforts of public health authorities and the public response on Facebook during the COVID-19 pandemic in early 2020: cross-country …

AS Raamkumar, SG Tan, HL Wee - Journal of medical Internet research, 2020 - jmir.org
Background: The coronavirus disease (COVID-19) pandemic presents one of the most
challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are …

Detection of potential customers' empathy behavior towards customers' reviews

MS Hossain, MF Rahman - Journal of retailing and consumer services, 2022 - Elsevier
The aim of the current study is to identify potential customers' empathy behavior and their
behavioral reactions based on appraisal and stimulus–organism–response (SOR) theories …

Emotion analysis of Arabic tweets: Language models and available resources

G Alqahtani, A Alothaim - Frontiers in Artificial Intelligence, 2022 - frontiersin.org
One of the most popular social media platforms is Twitter. Emotion analysis and
classification of tweets have become a significant research topic recently. The Arabic …

Sentiment analysis for Arabic language: A brief survey of approaches and techniques

M Alrefai, H Faris, I Aljarah - arXiv preprint arXiv:1809.02782, 2018 - arxiv.org
With the emergence of Web 2.0 technology and the expansion of on-line social networks,
current Internet users have the ability to add their reviews, ratings and opinions on social …

Analyzing the museum experience through the lens of Instagram posts

BA Rhee, F Pianzola, GT Choi - Curator: The Museum Journal, 2021 - Wiley Online Library
The purpose of this study is to examine visitors' Instagram posts through a combination of
quantitative methods to cast light on museum experiences. To analyze a large quantity of …

Emotion recognition by web-shaped model

P Barra, L De Maio, S Barra - Multimedia Tools and Applications, 2023 - Springer
Emotions recognition is widely applied for many tasks in different fields, from human-
computer and human-robot interaction to learning platforms. Also, it can be used as an …

Web Trends: A valuable tool for business research

SL France, Y Shi, B Kazandjian - Journal of Business Research, 2021 - Elsevier
Web search data are a valuable source of business and economic information. Previous
studies have utilized Google Trends web search data for economic forecasting. We expand …

Predicting emotions in online social networks: challenges and opportunities

G Alqahtani, A Alothaim - Multimedia Tools and Applications, 2022 - Springer
Online social networking has become a popular means of information exchange and social
interactions. Users of these platforms generate massive amounts of data about their …

[PDF][PDF] MSTD: Moroccan sentiment twitter dataset

S Mihi, B Ait, I El, S Arezki… - Int. J. Adv. Comput. Sci …, 2020 - academia.edu
With the proliferation of social media and Internet accessibility, a massive amount of data
has been produced. In most cases, the textual data available through the web comes mainly …