How does Uzbek Sentiment Analysis work?
- Tokenization. This method breaks the text into individual words or phrases, making it easier to analyze the sentiment of each component.
- Sentiment Classification. Using machine learning models, this technique categorizes the overall sentiment of the text as positive, negative, or neutral.
- Lexicon-based Analysis. This approach utilizes dictionaries of words associated with positive or negative sentiments to evaluate the emotional tone of the text.
- Deep Learning. This sophisticated method employs neural networks to understand context and nuances in the language, improving sentiment detection accuracy.
