How does Estonian Sentiment Analysis work?
- Machine Learning. This method employs algorithms to train models on labeled data, allowing the system to predict sentiment based on input text.
- Lexicon-Based Approach. In this approach, sentiment is determined by matching words in the text with predefined lists of words associated with positive or negative sentiments.
- Natural Language Processing (NLP). NLP techniques help in understanding and processing the structure of the Estonian language, which is crucial for accurate sentiment classification.
- Deep Learning. Utilizing neural networks, deep learning enhances the sentiment analysis process by capturing complex patterns and nuances in language data.