How does Tagalog NLP work?
- Tokenization. This method involves dividing text into smaller components or tokens, such as words or phrases, making it easier to analyze.
- Sentiment Analysis. Sentiment analysis helps determine the emotional tone behind a series of words, identifying whether the sentiment is positive, negative, or neutral.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text, such as names of people, organizations, or locations, enhancing comprehension and data extraction.
- Part-of-Speech Tagging. This technique assigns parts of speech (e.g., nouns, verbs) to each word in a sentence, helping to understand sentence structure and meaning.