Analyzing and understanding the sentiments of social media documents on Twitter, Facebook, and Instagram has become a very important task at present. Analyzing the …
Sentiment analysis is an important natural language processing issue that has many applications in various fields. The increasing popularity of social networks and growth and …
MM Ali - Journal of Intelligent Systems, 2021 - degruyter.com
The Covid-19 pandemic is forcing organizations to innovate and change their strategies for a new reality. This study collects online learning related tweets in Arabic language to …
This article provides a systematic review of the extensive and fragmented literature focused on Digital Transformation (DT) and marketing by identifying the main themes and …
Emotions are a vital and fundamental part of our existence. Whatever we do, say, or do not say somehow reflects our feelings, however not immediately. To comprehend human's most …
Deep learning techniques have demonstrated remarkable success in various domains, including character classification tasks. However, the performance of deep learning models …
The COVID-19 pandemic can be attributed as a main factor to accelerate the current digital transformation and to encourage innovation and technological adoption. Consequently, the …
AT Rosário - Confronting Security and Privacy Challenges in Digital …, 2023 - igi-global.com
Digital marketing presents both challenges and opportunities when it comes to security. As more and more customer data is collected and stored digitally, the potential for sensitive …
Over recent decades, sentiment analysis has been progressive. A lot of effort focused on text analysis using techniques of text mining. However, audio sentiment analysis is still in the …