How does Thai NLP work?
- Tokenization. This method breaks down Thai text into individual words or phrases, essential due to the lack of explicit word boundaries in the language.
- Part-of-Speech Tagging. This technique assigns word classes to each token, helping in understanding the grammatical structure of sentences in Thai.
- Named Entity Recognition (NER). NER identifies and classifies key elements in the text such as names, locations, and organizations, making it easier to analyze Thai text data.
- Sentiment Analysis. This method evaluates the emotions conveyed in Thai texts, useful for understanding customer feedback and social media content.