How does Icelandic Sentiment Analysis work?
- Natural Language Processing (NLP). NLP involves the use of algorithms to process and analyze human language, enabling machines to understand and interpret Icelandic text.
- Machine Learning. Machine learning models are trained on labeled datasets to recognize patterns and classify sentiments expressed in Icelandic content.
- Lexicon-Based Approaches. These methods use predefined dictionaries of words associated with positive or negative sentiments to assess the overall sentiment of text.
- Deep Learning. Deep learning techniques leverage neural networks to enhance the accuracy of sentiment classification by learning complex patterns in the data.
