5. Categorizing and Tagging Terms
These “word sessions” are not only the idle development of grammarians, however they are of good use classes for most words processing tasks. As we will see, they occur from straightforward assessment of the circulation of terms in book. The aim of this chapter is always to respond to this amazing concerns:
- Just what are lexical classes and just how are they utilized in natural words running?
- What is good Python data construction for keeping keywords and their groups?
- How can we immediately label each word of a book having its keyword course?
On the way, we will protect some fundamental techniques in NLP, such as sequence labeling, n-gram types, backoff, and assessment. These method are helpful in lots of avenues, and marking gives us a straightforward context wherein presenting them. We will additionally find out how tagging could be the 2nd step in the standard NLP pipeline, after tokenization.
Right here we come across can is actually CC , a coordinating combination; now and entirely are RB , or adverbs; for try IN , a preposition; some thing are NN , a noun; and differing try JJ , an adjective. Devamını Oku
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