Sentiment Analysis Predictions in Digital Media Content using NLP Techniques
Abdulrahman Radaideh,
Fikri Dweiri
Abstract:In the current digital landscape, understanding sentiment in digital media is crucial for informed decisionmaking and content quality. The primary objective is to improve decision-making processes and enhance content quality within this dynamic environment. To achieve this, a comprehensive comparative analysis of NLP for tweet sentiment analysis was conducted, revealing compelling insights. The BERT pre-trained model stood out, achieving an accuracy rate of 94.56%, emphasizing the effectiveness of transfer lea… Show more
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