Some words have multiple meanings for example, charge is a noun and charge can also be a verb. Knowing a part of speech can help to disambiguate the meaning. Each token in a sentence has several attributes we can use for our analysis. The part of speech of a word is one example: nouns are a person, place, or thing; verbs are actions or occurrences; adjectives are words that describe nouns. Using these attributes, it’s straightforward to create a summary of a piece of text by counting the most common nouns, verbs, and adjectives:

tagged_wt = [nltk.pos_tag(w)for w in words]

[[('One', 'CD'), ('way', 'NN'), ('to', 'TO'), ('extract', 'VB'), ('meaning', 'VBG'), ('from', 'IN'), ('text', 'NN'), ('is', 'VBZ'), ('to', 'TO'), ('analyze', 'VB'), ('individual', 'JJ'), ('words', 'NNS'), ('.', '.')], [('The', 'DT'), ('processes', 'NNS'), ('of', 'IN'), ('breaking', 'VBG'), ('up', 'RP'), ('a', 'DT'), ('text', 'NN'), ('into', 'IN'), ('words', 'NNS'), ('is', 'VBZ'), ('called', 'VBN'), ('tokenization', 'NN'), ('--', ':'), ('the', 'DT'), ('resulting', 'JJ'), ('words', 'NNS'), ('are', 'VBP'), ('referred', 'VBN'), ('to', 'TO'), ('as', 'IN'), ('tokens', 'NNS'), ('.', '.')], [('Punctuation', 'NN'), ('marks', 'NNS'), ('are', 'VBP'), ('also', 'RB'), ('tokens', 'NNS'), ('.', '.')], [('Each', 'DT'), ('token', 'NN'), ('in', 'IN'), ('a', 'DT'), ('sentence', 'NN'), ('has', 'VBZ'), ('several', 'JJ'), ('attributes', 'IN'), ('we', 'PRP'), ('can', 'MD'), ('use', 'VB'), ('for', 'IN'), ('analysis', 'NN'), ('.', '.')]]


patternPOS= []
for tag in tagged_wt:
  patternPOS.append([v for k,v in tag])

[['CD', 'NN', 'TO', 'VB', 'VBG', 'IN', 'NN', 'VBZ', 'TO', 'VB', 'JJ', 'NNS', '.'], ['DT', 'NNS', 'IN', 'VBG', 'RP', 'DT', 'NN', 'IN', 'NNS', 'VBZ', 'VBN', 'NN', ':', 'DT', 'JJ', 'NNS', 'VBP', 'VBN', 'TO', 'IN', 'NNS', '.'], ['NN', 'NNS', 'VBP', 'RB', 'NNS', '.'], ['DT', 'NN', 'IN', 'DT', 'NN', 'VBZ', 'JJ', 'IN', 'PRP', 'MD', 'VB', 'IN', 'NN', '.'], ['DT', 'NN', 'IN', 'NN', 'IN', 'DT', 'NN', 'VBZ', 'CD', 'NN', ':', 'NNS', 'VBP', 'DT', 'NN', ',', 'NN', ',', 'CC', 'NN', ':', 'NNS', 'VBP', 'NNS', 'CC', 'NNS', ':', 'NNS', 'VBP', 'NNS', 'IN', 'NN', 'NNS', '.'], ['VBG', 'DT', 'NNS', ',', 'PRP', 'VBZ', 'JJ', 'TO', 'VB', 'DT', 'NN', 'IN', 'DT', 'NN', 'IN', 'NN', 'IN', 'VBG', 'DT', 'RBS', 'JJ', 'NNS', ',', 'NNS', ',', 'CC', 'NNS', '.']]