Kannada Sentiment Analysis

It is the analysis of sentiments expressed in Kannada texts, used for understanding opinions and feelings.

Common methods include lexicon-based approaches, machine learning models, deep learning techniques, and hybrid approaches.

Accuracy can vary based on the method used and the quality of the data but modern approaches can achieve high accuracy.

Yes, with the right technical setup, it can be employed for real-time sentiment analysis in various applications.

While primarily designed for Kannada, sentiment analysis techniques can be adapted for other languages with appropriate resources.

Industries like marketing, customer service, and social media can leverage sentiment analysis for better decision-making.