How does Czech Sentiment Analysis work?
- Rule-Based Approach. This method uses predefined linguistic rules to assess sentiment by analyzing the syntax and semantics of the text.
- Machine Learning. Involves training algorithms on labeled datasets to classify the sentiment as positive, negative, or neutral based on patterns in the data.
- Lexicon-Based Analysis. Utilizes a dictionary of words associated with sentiment scores to evaluate the overall sentiment of a text based on the aggregate scores of the words.
- Deep Learning. Employs neural networks to capture complex patterns in language data, allowing for more nuanced sentiment classification.
