How does Azerbaijani Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are employed to process and analyze large amounts of text data, enabling the identification of sentiment indicators within Azerbaijani language text.
- Machine Learning Algorithms. Machine learning algorithms are trained on labeled sentiment data to recognize patterns and predict sentiments in unseen Azerbaijani text.
- Lexicon-based Approaches. These approaches utilize pre-defined dictionaries of words associated with positive or negative sentiments to determine the overall sentiment of the text.
- Deep Learning Techniques. Deep learning models, particularly neural networks, can capture complex patterns in data, improving the accuracy of sentiment classification in Azerbaijani language text.
