How does Xhosa Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are employed to understand and process the Xhosa language, enabling machines to interpret its grammar and semantics.
- Machine Learning. Machine learning algorithms are trained on large datasets of Xhosa texts to learn patterns in sentiment and categorize emotions accurately.
- Sentiment Classification. This involves categorizing texts into positive, negative, or neutral sentiments using predefined labels based on linguistic features.
- Lexicon-Based Approaches. These approaches utilize predefined lists of words associated with certain sentiments to analyze the emotional context of the text.