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Emotion Detection in Social Media Text by somos.uno.2024.7 is a document available to read on EtoBox.
The research paper discusses the extraction of emotions from social media text data using machine learning algorithms, highlighting the challenges of interpreting written expressions of emotions. It emphasizes the importance of pre-processing text data to enhance the accuracy of emotion detection, detailing various techniques used in this process. The study aims to provide insights into human emotions and sentiments, particularly in the context of increased social media usage post-COVID-19.
- Author
- somos.uno.2024.7
- Language
- EN