How does Malayalam Sentiment Analysis work?
- Lexicon-Based Approach. This approach uses predefined dictionaries of words with associated sentiment scores to evaluate the sentiment of sentences.
- Machine Learning Techniques. Traditionally, machine learning models are trained on annotated datasets to classify sentiments based on features extracted from the text.
- Deep Learning Models. Deep learning techniques, such as LSTM and CNN, are used to capture complex patterns in sentiment data for improved accuracy.
- Hybrid Approaches. These combine both lexicon-based and machine learning techniques to enhance sentiment detection by leveraging the strengths of both methods.
