How does Hindi Sentiment Analysis work?
- Lexicon-based Approach. This approach uses a predefined dictionary of words associated with sentiment values to analyze the sentiment of texts.
- Machine Learning Techniques. Machine learning models, such as Naive Bayes or Support Vector Machines, are trained on labeled Hindi datasets to classify sentiment.
- Deep Learning Models. Advanced techniques, including neural networks like LSTM or BERT, improve the accuracy of sentiment analysis by understanding context and nuances.
- Hybrid Methods. Combining lexicon-based and machine learning methods to leverage the strengths of both approaches for enhanced accuracy.
