How does Odia Sentiment Analysis work?
- Lexicon-Based Approach. This method uses predefined lists of words associated with positive or negative sentiments to evaluate the overall sentiment of a text.
- Machine Learning. Machine learning algorithms are trained on labeled datasets to classify sentiments by recognizing patterns in the text data.
- Deep Learning. This advanced approach uses neural networks to analyze complex language structures and contextual meanings, improving sentiment accuracy.
- Hybrid Methods. Hybrid methods combine multiple techniques, such as lexicon-based and machine learning, to enhance sentiment analysis performance in diverse contexts.
