How does English Sentiment Analysis work?
- Machine Learning. Utilizes algorithms to learn from and make predictions on data, effectively classifying sentiment based on learned models.
- Natural Language Processing (NLP). Analyzes and understands human language by breaking down text into components such as syntax and semantics.
- Lexicon-Based Approach. Involves using predefined lists of words associated with sentiment scores to evaluate the overall sentiment of a document.
- Deep Learning. Employs layered neural networks to analyze text data with greater precision, yielding more nuanced sentiment interpretations.
