How does German Sentiment Analysis work?
- Rule-based Analysis. This method uses predefined lists of words and phrases that are associated with positive or negative sentiment to evaluate the text's sentiment.
- Machine Learning. Machine learning algorithms are trained on annotated datasets to classify text as positive, negative, or neutral based on learned patterns.
- Deep Learning. Advanced neural networks, such as LSTM and transformers, are utilized to analyze sentiment through context and semantics in longer texts.
- Lexicon-based Approach. This approach combines a set of dictionaries that lists words with their associated sentiment scores used to calculate the overall sentiment of a document.
