How does Polish Sentiment Analysis work?
- Tokenization. Tokenization involves breaking text into individual words or phrases, serving as the foundation for further analysis in sentiment detection.
- Sentiment Classification. Sentiment classification assigns predefined categories like positive, negative, or neutral to phrases based on the sentiment expressed.
- Machine Learning Algorithms. Machine learning algorithms are employed to train models using labeled sentiment data, improving the accuracy of sentiment predictions over time.
- Lexicon-Based Approaches. Lexicon-based approaches use predefined dictionaries of words associated with positive or negative sentiments to assess the sentiment in texts.
