July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Distributional similarity based representation
This is quite an old and powerful idea in NLP. The notion of distributional similarity is that you can get a lot of value for representing the meaning of a word by considering the context in which that particular word appears, and it is highly related with that context. There is a very famous quote by a famous linguist John Firth:
"You shall know the word by the company it keeps."
Let's take an example: if I want to find the meaning of the word banking, I am going to collect thousands of sentences in which the word banking is included, and then I will start looking at the other words with the word banking and try to understand the context in which the word banking is used. So, look at these ...
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