How does Georgian Sentiment Analysis work?
- Lexicon-based Approach. This method uses predefined lists of words with associated sentiments to analyze texts. It calculates sentiment scores based on the words present in the text.
- Machine Learning. This approach trains algorithms on labeled datasets to learn to classify the sentiment of Georgian texts based on patterns in the data.
- Deep Learning. Deep learning uses neural network architectures to achieve advanced sentiment analysis by understanding context and nuance in Georgian language expressions.
- Hybrid Methods. This method combines lexicon-based approaches with machine learning techniques to enhance the accuracy of sentiment detection in Georgian texts.
