How does Haitian NLP work?
- Tokenization. This method breaks down the text into individual words or tokens, making it easier for algorithms to analyze the structure of the language.
- Sentiment Analysis. This technique evaluates the emotions expressed in text, determining whether the sentiment is positive, negative, or neutral.
- Named Entity Recognition. This method focuses on identifying and classifying key entities within the text into predefined categories such as names of people, organizations, or locations.
- Language Modeling. This approach predicts the likelihood of a sequence of words, helping in tasks like text generation and completion.