How does Pashto Sentiment Analysis work?
- Tokenization. This method involves breaking down the text into smaller units, such as words or phrases, to facilitate analysis.
- Lexicon-based Approach. This method uses predefined lists of words associated with positive or negative sentiments to evaluate the sentiment of the text.
- Machine Learning Models. This approach employs machine learning algorithms that learn from pre-labeled datasets to classify the sentiment of Pashto text.
- Deep Learning Techniques. This method uses neural networks to analyze the nuances of language in context, improving the accuracy of sentiment classification.
