How does Greek Sentiment Analysis work?
- Tokenization. This method involves breaking down a sentence into words or phrases (tokens), making it easier to analyze the sentiment associated with each token.
- Sentiment Classification. It uses machine learning algorithms to classify text into categories representing the sentiment they express, such as positive, negative, or neutral.
- Lexicon-based Analysis. This approach utilizes predefined dictionaries of words associated with specific sentiments to evaluate the overall sentiment of the text.
- Machine Learning. Advanced techniques that involve training models on labeled datasets to predict sentiments in unseen text based on learned patterns.