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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...
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Javier Domingo-Espiñeira, Oscar Fraile-Martínez, Cielo Garcia-Montero, María Montero, Andrea Varaona, Francisco J. Lara-Abelenda, Miguel A. Ortega, Melchor Alvarez-Mon and Miguel Angel Alvarez-Mon
Neurological disorders represent the primary cause of disability and the secondary cause of mortality globally. The incidence and prevalence of the most notable neurological disorders are growing rapidly. Considering their social and public perception by...
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Omiros Iatrellis, Nicholas Samaras, Konstantinos Kokkinos and Apostolis Xenakis
Academic advising is often pivotal in shaping students? educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key feedback p...
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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,...
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Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu and Lihua Cai
With the popularization of better network access and the penetration of personal smartphones in today?s world, the explosion of multi-modal data, particularly opinionated video messages, has created urgent demands and immense opportunities for Multi-Moda...
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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...
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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...
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Heidi Toivonen and Francesco Lelli
This paper investigates how users of smart devices attribute agency both to themselves and to their devices. Statistical analyses, tag cloud analysis, and sentiment analysis were applied on survey data collected from 587 participants. As a result of a pr...
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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...
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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...
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