How does Indonesian NLP work?
- Tokenization. This method involves breaking down text into smaller units called tokens, which can be words, phrases, or clauses, to analyze the structure and meaning of the text.
- Named Entity Recognition (NER). NER is a technique used to identify and classify key entities such as people, organizations, and locations within a text, helping to interpret and organize information better.
- Sentiment Analysis. Sentiment analysis is used to determine the emotional tone behind a series of words, which can help businesses understand customer opinions and feedback.
- Part-of-speech Tagging. This method assigns parts of speech to each word in a sentence (like nouns, verbs, adjectives), which aids in understanding the grammatical structure and meaning of the text.