How does Chinese Sentiment Analysis work?
- Lexicon-based Analysis. This method utilizes predefined dictionaries that categorize words and expressions into positive, negative, or neutral sentiments, allowing for sentiment extraction based on the presence of these words.
- Machine Learning Models. Using labeled datasets, machine learning algorithms can be trained to identify sentiment by analyzing language patterns, making predictions on new, unseen text data.
- Deep Learning Techniques. Advanced deep learning models, such as recurrent neural networks (RNNs) and transformers, are applied to understand the contextual meaning of phrases, improving sentiment analysis accuracy in Chinese.
- Aspect-based Sentiment Analysis. This technique allows for the analysis of sentiment pertaining to specific aspects of entities or products, enabling businesses to understand consumer opinions on various features.
