How does Malay NLP work?
- Tokenization. Tokenization is the process of breaking down text into smaller units, such as words or phrases, which is essential for understanding the structure of the Malay language.
- Sentiment Analysis. Sentiment analysis identifies and categorizes opinions expressed in text, helping to determine the emotional tone behind Malay language content.
- Named Entity Recognition. This technique involves identifying and classifying key elements in the text, such as names, dates, and locations, which are crucial for extracting information from Malay documents.
- Machine Translation. Machine translation uses algorithms to convert text from Malay to other languages and vice versa, facilitating multilingual communication and access to content.