How does Romanian Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques process and analyze large amounts of natural language data, enabling machines to understand and interpret human language effectively.
- Machine Learning Models. These models are trained on labeled data to classify the sentiment of text as positive, negative, or neutral based on learned patterns.
- Lexicon-Based Approaches. This method uses predefined dictionaries of words associated with particular sentiments to analyze the sentiment of new text.
- Deep Learning Techniques. Advanced deep learning algorithms, such as neural networks, are utilized to improve accuracy in sentiment classification by capturing contextual meanings in text.
