How does Urdu Sentiment Analysis work?
- Lexicon-based Approach. This method relies on a predefined list of words annotated with sentiment scores, determining the sentiment of a text based on the weighted scores of words.
- Machine Learning Algorithms. It employs supervised learning techniques, training models on labeled datasets to classify sentiments in new pieces of text.
- Tokenization and Preprocessing. Tokens are extracted from the text after cleaning and normalizing the data, which helps to prepare the text for analysis.
- Deep Learning Techniques. Utilizes neural networks to capture complex patterns in the data, enhancing the ability to classify sentiments accurately.
