How does Kazakh Sentiment Analysis work?
- Tokenization. Tokenization is the process of breaking down a text into individual words or phrases, which can then be analyzed for sentiment.
- Sentiment Classification. Sentiment classification involves assigning a sentiment label (positive, negative, neutral) to a given piece of text based on its content.
- Lexicon-Based Methods. Lexicon-based methods use predefined lists of words associated with positive or negative sentiments to determine the overall sentiment of a text.
- Machine Learning Models. Machine learning models are trained on labeled datasets to automatically classify the sentiment of new texts based on learned patterns.
