Introduction: China had been implementing stringent dynamic policies during the COVID-19 pandemic. In late 2022, China made a sudden policy shift from its three-year dynamic zero-COVID to the ...

An automated system that analyzes tweets about specific topics, classifies user emotional responses as positive, negative, or neutral, and visualizes the results through interactive charts and world ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

In addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass ...

Abstract: Twitter is a platform where users may post texts known as "tweets." They may be examined to determine their implications and meanings. Among these techniques, sentiment analysis is perhaps ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

When it first became clear that clicks and user behavior influence rankings, many in the SEO industry dismissed it – until it became widely accepted. Today, the SEO vs. GEO debate is sparking similar ...

1 Department of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, United States 2 Department of Bioinformatics, University of Texas Southwestern ...

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The analysis pipeline was implemented using Python’s Natural Language Toolkit, Gensim, and scikit-learn libraries, with hyperparameter tuning to maximize model performance. Results: Sentiment analysis ...