How does Mongolian Sentiment Analysis work?
- Lexicon-Based Approach. This method uses predefined lists of words associated with positive and negative sentiments to analyze text and determine overall sentiment.
- Machine Learning. Machine learning algorithms are trained on labeled datasets to classify text into different sentiment categories based on learned patterns.
- Deep Learning. Deep learning techniques, especially neural networks, can model complex relationships in text data, allowing for more nuanced sentiment detection.
- Rule-Based Systems. These systems apply linguistic rules to analyze the structure and semantics of Mongolian sentences to gauge sentiment accurately.
