How does Sindhi NLP work?
- Tokenization. This method breaks text into individual elements, such as words or phrases, making it easier to analyze language structures.
- Named Entity Recognition. This technique identifies and categorizes key entities in text, such as names of people, organizations, or locations specific to the Sindhi language.
- Sentiment Analysis. This involves determining the sentiment expressed in a piece of text, whether positive, negative, or neutral, within the context of Sindhi language expressions.
- Translation. This process translates text from or to the Sindhi language, facilitating communication across languages using advanced algorithms and language models.