How does Khmer Sentiment Analysis work?
- Lexicon-Based Approach. This method uses a predefined list of words associated with positive or negative sentiments to evaluate the overall sentiment of the text.
- Machine Learning Algorithms. Machine learning techniques are trained on labeled datasets to classify sentiments in Khmer text based on patterns learned from the data.
- Deep Learning Techniques. Advanced deep learning models, such as neural networks, can be employed to capture complex linguistic patterns and nuances in sentiment.
- Natural Language Processing (NLP). NLP techniques help to preprocess and analyze Khmer language text, ensuring accurate sentiment detection by understanding context and grammar.
