text: # textacy, a library to extract verb phrases based on grammar rules
  import textacy
  
  aboutTalkText = ("The talk will introduct about Use cases of Natural Language"\
  				"Processing in Fintech.")
  pattern = r'(<VERB>?<ADV>*<VERB>+)'
  aboutTalkDoc = textacy.make_spacy_doc(aboutTalkText, lang='en_core_web_sm')
  # we get error here -- en_core_web_sm is not downloaded
  
  verbPhrases = textacy.extract.pos_regex_matches(aboutTalkDoc, pattern)
  
  print("Print all verb phrases:")
  for chunk in verbPhrases:
  	print(chunk.text)
  
  print("Extract Noun Phrase to explain what nouns are involved")
  for chunk in aboutTalkDoc.noun_chunk:
  	print(chunk)