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Charalampos M. Liapis and Sotiris Kotsiantis
The use of deep learning in conjunction with models that extract emotion-related information from texts to predict financial time series is based on the assumption that what is said about a stock is correlated with the way that stock fluctuates. Given th...
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Nasir Ayub, Tayyaba, Saddam Hussain, Syed Sajid Ullah and Jawaid Iqbal
Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered that relying solely on the over...
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Muhammad Nadeem, Henry Shen, Lincoln Choy and Julien Moussa H. Barakat
Growing obesity has been a worldwide issue for several decades. This is the outcome of common nutritional disorders which results in obese individuals who are prone to many diseases. Managing diet while simultaneously dealing with the obligations of a wo...
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Dezheng Zhang, Peng Li and Aziguli Wulamu
Profiting from the great progress of information technology, a huge number of multi-label samples are available in our daily life. As a result, multi-label classification has aroused widespread concern. Different from traditional machine learning methods...
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Jingyu Xiao, Jiayu Xu, Chunwei Tian, Peiyi Han, Lei You and Shichao Zhang
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