Sentiment Analysis - Ist der Text Positiv oder negativ?
Words per Sentence
len(nltk.corpus.brown.words()) / len(nltk.corpus.brown.sents())
Anzahl der Wörter finden
len(nltk.tokenize.sent_tokenize(foo))
Anzahl der Sätze finden
len(nltk.tokenize.sent_tokenize(text1))
Search text for every occurence of word:
text1.concordance('foo')
Find synonyms:
text1.similar('foo')
Generate random text:
text1.generate()
Count Vocabulary:
len(text1)
Count occurance of word:
text1.count('foo')
See all words from text:
set(text1)
Hapaxes (least common words):
FreqDist(text1).hepaxes()
Find Long Words:
sorted([w for w in set(text1) in len(w) > 15])