How does Lithuanian Sentiment Analysis work?
- Tokenization. Tokenization is the process of breaking down text into individual words or tokens, which serves as the first step in analyzing sentiment.
- Sentiment Lexicon. A sentiment lexicon is a dictionary that maps words to sentiment scores, enabling the analysis system to associate words with positive or negative sentiments.
- Machine Learning. Machine learning algorithms are trained on labeled datasets to classify sentiments of new texts based on learned patterns.
- Natural Language Processing (NLP). NLP techniques are utilized to understand the context and nuances in language, helping to accurately assess the sentiment derived from Lithuanian text.
