User:Laurier Rochon/prototyping/npl
From XPUB & Lens-Based wiki
NPL with NLTK/Python
- Count number of words (word tokens) : len(text)
- Count number of distinct words (word types) : len(set(text))
- The diversity of a text can be found with : len(text) / len(set(text))
- Dispersion plot : shows you usage of certain words in time (useful for quick overviews) (i.e. text.dispersion_plot(['of','the']))
- Collocations : 2 words that are almost always together (i.e. red wine) text.collocations()
- Join/split to create strings/lists from delimiters
- All the words starting with B in text 5. Sorted and unique words only : sorted([w for w in set(text5) if w.startswith('b')])
- Find exact occurrence of a word = text.index('word')
- Find all 4-letter words in a text :
V = set(text8)
fourletter = [w for w in V if len(w)==4]
sorted(fourletter)
- And show their distribution in order
fdist = FreqDist(text5)
vocab = fdist.keys()
for w in vocab:
if len(w)==4:
print w
