How does Maori Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are used to process and analyze Maori language text, enabling the extraction of sentiment from written content.
- Machine Learning. Machine learning algorithms are trained on labeled datasets of Maori text to classify new inputs based on sentiment.
- Lexicon-Based Approaches. These methods utilize predefined dictionaries of words that are associated with positive or negative sentiments to evaluate text.
- Sentiment Polarity Classification. This technique determines whether the overall sentiment of a given text is positive, negative, or neutral through analysis of phrases and context.
