Skip to Content
Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Recognizing named entities

Named-entity recognition (NER) tries to detect names of persons, organizations, locations, and other names in texts. Some NER systems are almost as good as humans, but it is not an easy task. Named entities usually start with upper case, such as Ivan. We should, therefore, not change the case of words when applying NER.

NLTK has support for the Stanford NER API. This is a Java API, so you need to have Java on your system. I tested the code with Java 1.8.0_65. The code in this recipe downloads the most recent Stanford NER archive (stanford-ner-2015-04-20.zip/3.5.2) as of October 2015. If you want another version, take a look at http://nlp.stanford.edu/software/CRF-NER.shtml (retrieved October 2015).

Getting ready

Install ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Machine Learning Cookbook - Second Edition

Python Machine Learning Cookbook - Second Edition

Giuseppe Ciaburro, Prateek Joshi
Python: End-to-end Data Analysis

Python: End-to-end Data Analysis

Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson, Luiz Felipe Martins
Python Data Science Essentials - Third Edition

Python Data Science Essentials - Third Edition

Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti

Publisher Resources

ISBN: 9781785282287Supplemental Content