How does Bosnian NLP work?
- Tokenization. Tokenization involves splitting text into individual elements, such as words or phrases, which are then analyzed for further processing.
- Lemmatization. Lemmatization reduces words to their base or dictionary form, improving the accuracy of analysis tasks by normalizing variations of a word.
- Named Entity Recognition (NER). NER identifies and classifies key entities within text, such as names of people, organizations, and locations, aiding in information extraction.
- Sentiment Analysis. Sentiment analysis determines the emotional tone behind a body of text, helping businesses to understand customer opinions and feedback.