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Article
Corporate social responsibility disclosure prediction using LSTM neural network
Corporate social responsibility (CSR) has gained a great deal of interest in recent years due to the need for information that can help many stakeholders (e.g., governments, investors, professional organizatio...
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Article
Users opinion and emotion understanding in social media regarding COVID-19 vaccine
Online social platforms or social platforms such as Twitter, Facebook and Instagram have become popular platforms for a public discussion about social topics. Recent studies show that there is a growing tenden...
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Chapter
Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life
COVID-19 illness has been recognized as an International Public Health Emergency (PHEIC). According to the World Health Organization (WHO), more than 200 countries worldwide have been impacted by the COVID-19....
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Chapter and Conference Paper
Interesting Recommendations Based on Hierarchical Visualizations of Medical Data
Due to the dramatic growth in Electronic Health Records (EHR), many opportunities are arising for discovering new medical knowledge. Those kinds of knowledge are useful for related stakeholders such as hospita...
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Chapter and Conference Paper
Evaluation Methods of Hierarchical Models
In this paper, we consider the problem of evaluating the quality of hierarchical models. This task arises due to the current researchers use subjective evaluation, such as a survey to test the goodness of a hi...
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Chapter and Conference Paper
Efficiently Mining Constrained Subsequence Patterns
Big time series data are generated daily by various application domains such as environment monitoring, internet of things, health care, industry and science. Mining this massive data is a very challenging tas...