|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
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
|
|
|
|
|
|
|
|
|
|
|
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...
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
|
|
|
|
|
|
|
|
|
|
|
Mahammad Khalid Shaik Vadla, Mahima Agumbe Suresh and Vimal K. Viswanathan
Understanding customer emotions and preferences is paramount for success in the dynamic product design landscape. This paper presents a study to develop a prediction pipeline to detect the aspect and perform sentiment analysis on review data. The pre-tra...
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|