## 12.2.14 n-grams¶

- n-gram — a sequence of n text items, such as letters in words or words in a sentence.
- Used to identify letters or words that frequently appear adjacent to one another
  - Predictive text input
  - Speech-to-text

In [1]:

    from textblob import TextBlob

In [2]:

    text = 'Today is a beautiful day. Tomorrow looks like bad weather.'

In [3]:

    blob = TextBlob(text)

- `TextBlob`’s `ngrams` method produces a list of `WordList` n-grams of length three by default—known as trigrams
- Use keyword argument `n` to produce n-grams of any desired length

In [4]:

    blob.ngrams()

Out[4]:

    [WordList(['Today', 'is', 'a']),
     WordList(['is', 'a', 'beautiful']),
     WordList(['a', 'beautiful', 'day']),
     WordList(['beautiful', 'day', 'Tomorrow']),
     WordList(['day', 'Tomorrow', 'looks']),
     WordList(['Tomorrow', 'looks', 'like']),
     WordList(['looks', 'like', 'bad']),
     WordList(['like', 'bad', 'weather'])]

In [5]:

    blob.ngrams(n=5)

Out[5]:

    [WordList(['Today', 'is', 'a', 'beautiful', 'day']),
     WordList(['is', 'a', 'beautiful', 'day', 'Tomorrow']),
     WordList(['a', 'beautiful', 'day', 'Tomorrow', 'looks']),
     WordList(['beautiful', 'day', 'Tomorrow', 'looks', 'like']),
     WordList(['day', 'Tomorrow', 'looks', 'like', 'bad']),
     WordList(['Tomorrow', 'looks', 'like', 'bad', 'weather'])]

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