How does Tagalog Sentiment Analysis work?
- Natural Language Processing (NLP). NLP is used to analyze and understand human language, enabling the sentiment analysis of Tagalog text by breaking it down into interpretable forms.
- Machine Learning. Machine learning models are trained on tagged datasets to identify patterns in the text that correlate with different sentiments, allowing for automated analysis.
- Lexicon-based Approaches. This method employs a list of words and phrases with assigned sentiment values to determine the overall sentiment of a given text based on the words it contains.
- Deep Learning Techniques. Deep learning models, such as recurrent neural networks (RNNs), are utilized to capture the contextual nuances in Tagalog text that affect sentiment interpretation.