lexikonbaserad
Lexikonbaserad describes approaches in natural language processing that rely on a lexicon—a curated dictionary or list of terms with attached information—to interpret and analyze text. Instead of learning purely from large labeled datasets, these methods use predefined entries and rules to derive meaning, classify text, or extract information.
A typical lexikonbaserad system involves selecting or constructing a lexicon that annotates words or multiword expressions
Common applications include sentiment analysis and opinion mining, where word-level scores contribute to an overall sentiment;
Advantages of lexikonbaserade approaches include interpretability, minimal dependence on large labeled datasets, and transparent scoring that
In practice, lexikonbaserade methods are often combined with statistical or machine-learning models in hybrid systems to