203   Artículos

 
en línea
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
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Xingxing Tong, Ming Chen and Guofu Feng    
The issue of aquatic product quality and safety has gradually become a focal point of societal concern. Analyzing textual comments from people about aquatic products aids in promptly understanding the current sentiment landscape regarding the quality and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haidi Badr, Nayer Wanas and Magda Fayek    
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh    
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hanan M. Alghamdi    
Sentiment analysis plays a crucial role in understanding public opinion and social media trends. It involves analyzing the emotional tone and polarity of a given text. When applied to Arabic text, this task becomes particularly challenging due to the lan... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Jun Peng and Baohua Su    
The task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e., opin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
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
Revista: AI    Formato: Electrónico

 
en línea
David Hanny and Bernd Resch    
With the vast amount of social media posts available online, topic modeling and sentiment analysis have become central methods to better understand and analyze online behavior and opinion. However, semantic and sentiment analysis have rarely been combine... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yao Qin, Yiping Shi, Xinze Hao and Jin Liu    
Microblog is an important platform for mining public opinion, and it is of great value to conduct emotional analysis of microblog texts during the current epidemic. Aiming at the problem that most current emotional classification methods cannot effective... ver más
Revista: Information    Formato: Electrónico

 
en línea
Giorgio Maria Di Nunzio and Riccardo Minzoni    
A survey published by Nature in 2016 revealed that more than 70% of researchers failed in their attempt to reproduce another researcher?s experiments, and over 50% failed to reproduce one of their own experiments; a state of affairs that has been termed ... ver más
Revista: Information    Formato: Electrónico

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