How does Punjabi Sentiment Analysis work?
- Lexicon-Based Approach. This method uses predefined lists of words associated with specific sentiments to analyze text and determine the overall sentiment.
- Machine Learning. Machine learning techniques classify the sentiment by training models on annotated datasets, allowing the system to learn from examples.
- Deep Learning. Advanced deep learning models, like LSTM and BERT, capture complex patterns in language data, improving sentiment classification performance.
- Rule-Based Approach. This approach involves predefined linguistic rules that analyze the structure of sentences to derive sentiment, often combined with lexicon-based methods for better accuracy.
