|
|
|
|
|
Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuhao He, Qianlong Zhao, Shanqi Sun, Wenjing Li and Waishan Qiu
The COVID-19 outbreak followed by the strict citywide lockdown in Shanghai has sparked negative emotion surges on social media platforms in 2022. This research aims to investigate the spatial?temporal heterogeneity of a unique emotion (helplessness) and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Suryakant Tyagi and Sándor Szénási
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiwei Shen, Junjie Xu, Jiahao Mei, Xingjiao Wu and Daoguo Dong
|
|
|
|
|
|
|
|
|
|
|
Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Achini Adikari, Su Nguyen, Rashmika Nawaratne, Daswin De Silva and Damminda Alahakoon
The proliferation of online hotel review platforms has prompted decision-makers in the hospitality sector to acknowledge the significance of extracting valuable information from this vast source. While contemporary research has primarily focused on extra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lowri Williams, Eirini Anthi and Pete Burnap
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yimin Lum and Chen-Wei Chang
The rapid development of mobile Internet technology has brought about the flourishing growth of social media live streaming. This study employs social presence theory as the primary framework to investigate the impact of Facebook Live?s features of socia...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Louro da Silva, Carolina Gouveia, Daniel Filipe Albuquerque and Hugo Plácido da Silva
Bio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with...
ver más
|
|
|
|
|
|