How does Kurdish Sentiment Analysis work?
- Lexicon-Based Approach. This method uses a predefined list of words associated with positive or negative sentiments to analyze the text and determine its overall sentiment.
- Machine Learning. Utilizing algorithms and statistical models, this approach learns from labeled datasets to classify text sentiments, improving accuracy over time.
- Deep Learning. This advanced technique employs neural networks to process and analyze vast amounts of data, enabling complex sentiment analysis with higher precision.
- Rule-Based Parsing. Involves creating specific rules to interpret the grammatical structure of sentences, thus aiding in understanding sentiment based on context.
