|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Róbert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó and András Hajdu
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Fahad M. Alotaibi
Machine learning frameworks categorizing customer reviews on online products have significantly improved sales and product quality for major manufacturers. Manually scrutinizing extensive customer reviews is imprecise and time-consuming. Current product ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Noaman M. Ali, Abdullah Alshahrani, Ahmed M. Alghamdi and Boris Novikov
Online customers? opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lal Khan, Ammar Amjad, Kanwar Muhammad Afaq and Hsien-Tsung Chang
Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people?s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moyang Wang, Yijun He, Huan Meng, Ye Zhang, Bao Zhu, Joseph Mango and Xiang Li
Street space quality assessment refers to the extraction and appropriate evaluation of the space quality information of urban streets, which is usually employed to improve the quality of urban planning and management. Compared to traditional approaches r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Konstantinos Sikelis, George E. Tsekouras and Konstantinos Kotis
The Semantic Web emerged as an extension to the traditional Web, adding meaning (semantics) to a distributed Web of structured and linked information. At its core, the concept of ontology provides the means to semantically describe and structure informat...
ver más
|
|
|
|
|
|