How does Hawaiian Sentiment Analysis work?
- Text Preprocessing. This method involves cleaning and preparing the text data for analysis by removing noise and standardizing the language.
- Sentiment Classification. In this step, the processed text is classified into different sentiment categories, such as positive, negative, or neutral, using machine learning models.
- Emotion Detection. This technique focuses on identifying specific emotional responses within the text, such as joy, anger, or sadness, to gain deeper insights.
- Trend Analysis. This method analyzes sentiment over time to identify trends and patterns, which can help businesses understand the evolving public perception of their brand.