How does Basque Sentiment Analysis work?
- Text Classification. This method categorizes text into predefined sentiment categories such as positive, negative, or neutral based on learned patterns from labeled training data.
- Lexicon-Based Approaches. These approaches utilize predefined lists of words and phrases associated with specific sentiments to analyze the emotional tone of the text.
- Machine Learning Models. Utilizing algorithms like Support Vector Machines or Neural Networks, this method trains models on annotated data to predict sentiment in new, unseen text.
- Deep Learning. This advanced method involves training neural networks to understand complex patterns and contexts in text, allowing for more nuanced sentiment analysis.
