Enhanced sentiment analysis regarding COVID-19 news from global channels

Abstract

For a healthy society to exist, it is crucial for the media to focus on disease-related issues so that more people are widely aware of them and reduce health risks. Recently, deep neural networks have become a popular tool for textual sentiment analysis, which can provide valuable insights and real-time monitoring and analysis regarding health issues. In this paper, as part of an effort to develop an effective model that can elicit public sentiment on COVID-19 news, we propose a novel approach Cov-Att-BiLSTM for sentiment analysis of COVID-19 news headlines using deep neural networks. We integrate attention mechanisms, embedding techniques, and semantic level data labeling into the prediction process to enhance the accuracy. To evaluate the proposed approach, we compared it to several deep and machine learning classifiers using various metrics of categorization efficiency and prediction quality, and the experimental results demonstrate its superiority with 0.931 testing accuracy. Furthermore, 73,138 pandemic-related tweets posted on six global channels were analyzed by the proposed approach, which accurately reflects global coverage of COVID-19 news and vaccination.

Crypto-sentiment Detection in Malay Text Using Language Models with an Attention Mechanism

“…Most activities were performed online, and people are using online transaction very actively during this period. This also aligns with the data collected in [45] which stated that the year 2020 to 2021 was being crucially focused by media worldwide. Examples of the raw data that was extracted for Malay news headlines and tweets, respectively, are shown in Figs.…”

Analisis Media Monitoring terhadap Brand Suzuki Jimny dalam Rentang Waktu Peluncuran Produk Jimny 5-Door

“…Media monitoring merupakan salah satu aktivitas PR sebagai proses evaluasi dengan membedah publisitas yang beredar di media massa dan memberikan manfaat dalam membantu perusahaan untuk menentukan pengambilan suatu keputusan atau kebijakan (Gunawan & Anisa, 2020). Media monitoring dapat dikatakan juga sebagai proses membaca atau menganalisa suatu artikel, berita, atau iklan yang terpublikasi mengenai suatu perusahaan (Ahmad, 2023;Chen, 2023;Costa, 2024;Fielding, 2023;Ghosh, 2023;Lin, 2024).…”

تحليل السيميائية البصرية للصور والعاطفة في عناوين الصحف:

“…Together, these studies highlight the importance of analyzing news media content to understand the public discourse around the pandemic and its impact on various aspects of life, such as emotional well-being and economic perspective. Proposing a novel approach, Cov-Att-BiLSTM, for sentiment analysis of COVID-19 news headlines using deep neural networks to elicit public sentiment on COVID-19 news was applied in the (Ahmad, Wang, Martin, Xu, & Xu, 2022) superiority of the proposed approach with 0.931 testing accuracy compared to several deep and machine learning classifiers using various metrics of categorization efficiency and prediction quality. Furthermore, the proposed approach accurately reflected global coverage of COVID-19 news and vaccination by analyzing 73,138 pandemic-related tweets posted on six global channels.…”