How does French Sentiment Analysis work?
- Lexicon-based approach. This method relies on pre-defined dictionaries of words, where each word is tagged with a sentiment score, allowing the analysis of text based on word occurrences.
- Machine Learning models. Supervised learning algorithms are trained on annotated datasets to classify sentiments based on patterns learned from the training data, leading to dynamic and context-sensitive analysis.
- Deep Learning techniques. Utilizing complex neural network architectures, deep learning methods can capture intricate textual nuances and sentiment cues, enhancing the accuracy of sentiment predictions.
- Rule-based systems. This approach applies linguistic rules crafted by experts to analyze sentence structures and contextual meanings in order to determine sentiment.
