How does Ukrainian Sentiment Analysis work?
- Tokenization. Tokenization breaks down text into individual words or phrases to analyze sentiment at a more granular level.
- Sentiment Lexicon. A sentiment lexicon contains predefined lists of words associated with positive or negative sentiments, helping to classify emotions based on word choice.
- Machine Learning. Machine learning models are trained on labeled datasets to predict sentiment based on patterns learned from the data.
- Deep Learning. Deep learning techniques utilize neural networks to capture complex patterns in language, improving sentiment analysis accuracy significantly.
