July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Distributional semantics
Distributional semantics is a research area that focuses on developing techniques or theories that quantify and categorize semantic similarities between linguistic items based on their distributional properties in large samples of text data.
I want to give an example here that gives you an idea of what I mean by distributional semantics. Suppose you have text data of travelling blogs. Now, you as a person know that pasta, noodles, burgers, and so on are edible food items, whereas juice, tea, coffee, and so on are drinkable items. As a human, we can easily classify drinkable and edible food items because we have a certain context related with each of them, but machines cannot really know these kind of semantics. There ...
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