How does Shona Sentiment Analysis work?
- Natural Language Processing (NLP). This method uses algorithms to analyze and understand human language, enabling computers to interpret and respond to Shona text.
- Machine Learning. Machine learning models are trained on labeled Shona text data to identify patterns and predict sentiment based on new, unseen text.
- Lexicon-Based Techniques. This approach uses a predefined list of words associated with positive, negative, and neutral sentiments to score and classify Shona text.
- Sentiment Classification. This technique categorizes text into different emotion classes such as positive, negative, or neutral, allowing businesses to gain insights from Shona text.
