How does Serbian Sentiment Analysis work?
- Rule-Based Sentiment Analysis. This method utilizes predefined lists of words and phrases marked with sentiment values to interpret the sentiment of texts.
- Machine Learning Approaches. Involves training algorithms on labeled datasets to classify text as positive, negative, or neutral based on learned patterns.
- Deep Learning Techniques. Uses neural networks to automatically learn features from large datasets, providing more nuanced sentiment analysis compared to traditional methods.
- Lexicon-Based Approaches. This method employs a sentiment lexicon to determine the sentiment based on the presence and frequency of sentiment-laden words.
