September 2018
Intermediate to advanced
472 pages
12h 2m
English
book
Python Data Science Essentials - Third Edition
by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
Content preview from Python Data Science Essentials - Third Edition
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Named entity recognition (NER)
The goal of NER is to recognize tokens associated with people, organizations, and locations. Let's use an example to explain it further:
In: import nltk text = "Elvis Aaron Presley was an American singer and actor. Born in \ Tupelo, Mississippi, when Presley was 13 years old he and his \ family relocated to Memphis, Tennessee." chunks = nltk.ne_chunk(nltk.pos_tag(nltk.word_tokenize(text))) print (chunks)Out: (S (PERSON Elvis/NNP) (PERSON Aaron/NNP Presley/NNP) was/VBD an/DT (GPE American/JJ) singer/NN and/CC actor/NN ./. Born/NNP in/IN (GPE Tupelo/NNP) ,/, (GPE Mississippi/NNP) ,/, when/WRB (PERSON Presley/NNP) was/VBD 13/CD years/NNS old/JJ he/PRP and/CC his/PRP$ family/NN relocated/VBD ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.