July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Vocabulary builder
The vocabulary builder is the first building block of the word2vec model. It takes raw text data, mostly in the form of sentences. The vocabulary builder is used to build vocabulary from your given text corpus. It will collect all the unique words from your corpus and build the vocabulary.
In Python, there is a library called gensim. We will use gensim to generate word2vec for our corpus. There are some parameters available in gensim that we can use to build vocabulary from our corpus as per your application needs. The parameter list is given as follows:
- min_count: This parameter is used as a threshold value. This ignores all words with a total frequency of lower than the specified value. So, for example, if you set
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