14   Artículos

 
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
Jie Huang, Yunpeng Cui and Shuo Wang    
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ahmad Abdul Chamid, Widowati and Retno Kusumaningrum    
Product reviews on the marketplace are interesting to research. Aspect-based sentiment analysis (ABSA) can be used to find in-depth information from a review. In one review, there can be several aspects with a polarity of sentiment. Previous research has... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad    
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ziwen Gao, Zhiyi Li, Jiaying Luo and Xiaolin Li    
This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU). The hybrid model can fully extract text features, solve the problem of ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dahye Kim, YoungJin Kim and Young-Seob Jeong    
We make daily comments on online platforms (e.g., social networks), and such natural language texts often contain sentiment (e.g., positive and negative) for certain aspects (e.g., food and service). If we can automatically extract the aspect-based senti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guangtao Xu, Peiyu Liu, Zhenfang Zhu, Jie Liu and Fuyong Xu    
The purpose of aspect-based sentiment classification is to identify the sentiment polarity of each aspect in a sentence. Recently, due to the introduction of Graph Convolutional Networks (GCN), more and more studies have used sentence structure informati... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Biqing Zeng, Heng Yang, Ruyang Xu, Wu Zhou and Xuli Han    
Aspect-based sentiment classification (ABSC) aims to predict sentiment polarities of different aspects within sentences or documents. Many previous studies have been conducted to solve this problem, but previous works fail to notice the correlation betwe... ver más
Revista: Applied Sciences    Formato: Electrónico

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