How does Thai Sentiment Analysis work?
- Tokenization. This method breaks down text into individual words or phrases, enabling further analysis of sentiments expressed in smaller parts.
- Sentiment Classification. Utilizes machine learning algorithms to classify the sentiment of the text into predefined categories such as positive, negative, or neutral.
- Lexicon-Based Approach. This method relies on a predefined list of words associated with positive or negative sentiments to gauge the overall sentiment of a text.
- Deep Learning Techniques. Employs complex neural networks for improved accuracy in sentiment interpretation by capturing nuances in the language.
