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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...
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Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim and Yu-Seop Kim
Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most effective diagnostic tool for detecting cerebral hemorrhage, their interpreta...
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Husam M. Alawadh, Amerah Alabrah, Talha Meraj and Hafiz Tayyab Rauf
Internet use resulted in people becoming more reliant on social media. Social media have become the main source of fake news or rumors. They spread uncertainty in each sector of the real world, whether in politics, sports, or celebrities? lives?all are a...
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Archana Tikayat Ray, Bjorn F. Cole, Olivia J. Pinon Fischer, Ryan T. White and Dimitri N. Mavris
The system complexity that characterizes current systems warrants an integrated and comprehensive approach to system design and development. This need has brought about a paradigm shift towards Model-Based Systems Engineering (MBSE) approaches to system ...
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Abir Rahali and Moulay A. Akhloufi
To proactively mitigate malware threats, cybersecurity tools, such as anti-virus and anti-malware software, as well as firewalls, require frequent updates and proactive implementation. However, processing the vast amounts of dataset examples can be overw...
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Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Augustin Boroianu, Nicolae Bogdan and Attila Gal
With the increased popularity of social media platforms such as Twitter or Facebook, sentiment analysis (SA) over the microblogging content becomes of crucial importance. The literature reports good results for well-resourced languages such as English, S...
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Roberta Rodrigues de Lima, Anita M. R. Fernandes, James Roberto Bombasar, Bruno Alves da Silva, Paul Crocker and Valderi Reis Quietinho Leithardt
Classification problems are common activities in many different domains and supervised learning algorithms have shown great promise in these areas. The classification of goods in international trade in Brazil represents a real challenge due to the comple...
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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...
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Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello and Marco La Cascia
Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection....
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Changsong Bing, Yirong Wu, Fangmin Dong, Shouzhi Xu, Xiaodi Liu and Shuifa Sun
Social media has become more popular these days due to widely used instant messaging. Nevertheless, rumor propagation on social media has become an increasingly important issue. The purpose of this study is to investigate the impact of various features i...
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