The Named Entity Recognizer is a task that classifies the elements of a sentence into categories, such as person, organization, location, and so on. Stanford Named Entity Recognizer is one of the most popular out there and can be found at http://nlp.stanford.edu/.
The Stanford Named Entity Recognizer can be downloaded at http://nlp.stanford.edu/software/stanford-ner-2014-06-16.zip.
The following code shows the Stanford Named Entity Recognizer in action:
>>> from nltk.tag.stanford import NERTagger. >>> st = NERTagger('./lib/stanford-ner/classifiers/english.all.3class.distsim.crf.ser.gz', './lib/stanford-ner/stanford-ner.jar') >>> st.tag('''Barrack Obama is the president of the United States of America . His father ...