Text Processing

This demo showcases a set of NLP tools for text analysis, including the following Annotators:

  • Tokenization: Splits sentences into words.
  • Sentence Splitting: Generates a list of sentences from raw text.
  • Lemmatization: Returns the dictionary form ("lemma") for each sentence token.
  • Stopword Removal: Returns a list of tokens after removing common stopwords.
  • Part of Speech Tagging: Generates a list containing the PoS-tag for each sentence token.
  • Dependency Parsing: Predicts the syntactic relations and functions of sentence words.
  • Chunking: Groups the tokens of the sentence into small, non-overlapping groups based on parts of speech.


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