How does Luxembourgish Sentiment Analysis work?
- Tokenization. Tokenization involves breaking down text into individual words or phrases, which makes it easier to analyze sentiment based on these components.
- Sentiment Classification. Sentiment classification uses machine learning models to categorize text as positive, negative, or neutral based on the emotional content detected.
- Lexicon-based Analysis. This method utilizes a predefined list of Luxembourgish words associated with sentiment to evaluate the emotional tone of the text.
- Deep Learning Techniques. Deep learning techniques leverage neural networks to learn complex patterns in text data, improving the accuracy of sentiment detection in Luxembourgish.
