July 2017
Beginner to intermediate
312 pages
7h 27m
English
Stanford NER requires Java v1.8+ installed on the system:
The use of Stanford NER Tagger is very straightforward. We put the download classifier into an arbitrary directory and indicate this directory in the StanfordNERTagger object. Then we invoke a tag() method on each tweet to get the results:
from nltk.tag import StanfordNERTagger st = StanfordNERTagger('path_to_your_folder/english.all.3class.distsim.crf.ser.gz') st.tag(sentence.split())
We will use three class classifiers english.all.3class.distsim that will find three classes ...
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