Python Deep Learning Projects

Extracting nouns

Let's extract all of the nouns present in the corpus. This is very useful practice when you want to extract something specific. We are using NN, NNS, NNP, and NNPS tags to extract the nouns:

nouns = [] for tag in tagged_wt:nouns.append([k for k,v in tag if v in ['NN','NNS','NNP','NNPS']])[['way', 'text', 'words'], ['processes', 'text', 'words', 'tokenization', 'words', 'tokens'], ['Punctuation', 'marks', 'tokens'], ['token', 'sentence', 'analysis'], ['part', 'speech', 'word', 'example', 'nouns', 'person', 'place', 'thing', 'verbs', 'actions', 'occurences', 'adjectives', 'words', 'describe', 'nouns'], ['attributes', 'summary', 'piece', 'text', 'nouns', 'verbs', 'adjectives']]