What is text annotation in NLP?
Text annotation in NLP refers to the process of labeling or tagging text data to provide context and meaning.
Why is text annotation important for machine learning?
It's crucial because annotated data helps machine learning models understand and learn from the text, improving their accuracy.
What are some common types of text annotations?
Common types include named entity recognition, part-of-speech tagging, and sentiment analysis.
How can I get started with text annotation?
You can start by using annotation tools like Prodigy or Labelbox, and practice on datasets available online.
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