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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the e...
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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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Andra Sandu, Ioana Ioana?, Camelia Delcea, Laura-Madalina Geanta and Liviu-Adrian Cotfas
The proliferation of misinformation presents a significant challenge in today?s information landscape, impacting various aspects of society. While misinformation is often confused with terms like disinformation and fake news, it is crucial to distinguish...
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Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Najla Alkaabi, Nazar Zaki, Heba Ismail and Manzoor Khan
Students? emotional health is a major contributor to educational success. Hence, to support students? success in online learning platforms, we contribute with the development of an analysis of the emotional orientations and triggers in their text message...
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Ahmed Al Marouf, Jon G. Rokne and Reda Alhajj
Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-varying nature of these patterns and trends this detection can be a challenging task. In this paper, the emotion patterns and trends are detected among social ...
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Yucheng Huang, Rui Song, Fausto Giunchiglia and Hao Xu
The rapid development of online social media makes abuse detection a hot topic in the field of emotional computing. However, most natural language processing (NLP) methods only focus on linguistic features of posts and ignore the influence of users? emot...
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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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Yulia Dyulicheva
Pág. 18 - 23
The study of the mental health of society and the automatic detection of various types of disorders based on text analysis is one of the priority areas of e-health. The empirical investigation of the various anxieties and their causes in the pandemic per...
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