Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
An end-to-end NLP pipeline that classifies text from three distinct domains into a 5-level sentiment scale (Very Negative to Very Positive). The project compares classical ML approaches (SVM, XGBoost) ...
The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...
Abstract: Sentiment analysis within Online Social Networks (OSNs) becomes a major challenge. Mainly, because of the large amount of data on social networks and the mix of different languages that can ...
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