Kannada Language Sentiment Analysis Overview
This project aims to perform sentiment analysis on text written in the Kannada language. Sentiment analysis involves determining the sentiment (positive, negative, or neutral) of a given piece of text. The analysis is performed using machine learning techniques and natural language processing (NLP) libraries. Features Sentiment Classification: Classify text into positive, negative, or neutral sentiment categories. Kannada Language Support: Specifically designed to handle text in the Kannada language. Preprocessing: Text preprocessing techniques are applied to clean and prepare the text data for analysis. Model Training: Machine learning models are trained on labeled Kannada text data to predict sentiment. Evaluation: Evaluate the performance of the sentiment analysis model using appropriate metrics. API Integration: Optionally, integrate the sentiment analysis functionality into other applications via an API.