How does Latvian Sentiment Analysis work?
- Lexicon-based Analysis. This method utilizes a predefined list of words associated with positive, negative, or neutral sentiments to analyze text and determine overall sentiment.
- Machine Learning. Machine learning techniques, including supervised learning, are employed to train models on labeled datasets to predict sentiments based on textual features.
- Deep Learning. This approach leverages neural networks to capture complex patterns in the data and improve accuracy in sentiment classification tasks.
- Hybrid Approaches. Combining multiple methods, such as lexicon-based and machine learning techniques, to achieve more robust sentiment analysis results.
