How does Sindhi Sentiment Analysis work?
- Natural Language Processing (NLP). NLP is used to analyze textual data for extracting sentiments, emotions, and opinions, enabling machines to understand human language.
- Machine Learning. Machine learning algorithms are trained on labeled data to predict sentiments in new, unseen texts in the Sindhi language.
- Lexicon-based Approaches. These methods utilize predefined lists of words associated with positive or negative sentiments to assess the emotional tone of Sindhi texts.
- Deep Learning. Deep learning models, such as neural networks, are employed to improve sentiment classification accuracy by learning intricate patterns in large datasets.
