How does Haitian Sentiment Analysis work?
- Machine Learning. This method uses algorithms to analyze text data and categorize sentiments based on learned patterns from labeled datasets.
- Lexicon-based Approaches. These methods utilize predefined lists of words associated with specific sentiments to evaluate text sentiment by counting positive and negative words.
- Deep Learning. Deep learning models, particularly neural networks, are employed to analyze complex structures in language data for improved sentiment interpretation.
- Hybrid Approaches. This combines machine learning and lexicon-based methods to leverage the strengths of both techniques for more accurate sentiment analysis.
