How does Yoruba Sentiment Analysis work?
- Tokenization. This method involves breaking down the Yoruba text into individual words or tokens, which makes it easier to analyze sentiment and meaning.
- Sentiment Scoring. Using predefined sentiment lexicons, this technique assigns scores to words in the text, helping to determine whether they express positive, negative, or neutral sentiments.
- Machine Learning Models. Supervised learning algorithms are trained on labeled datasets to classify sentences or phrases based on their sentiment, improving analysis accuracy.
- Contextual Analysis. This method examines the context in which words are used, recognizing that the same word can convey different sentiments depending on its context.