nltk.tag.StanfordNERTagger
¶
-
class
nltk.tag.
StanfordNERTagger
(*args, **kwargs)[source]¶ A class for Named-Entity Tagging with Stanford Tagger. The input is the paths to:
- a model trained on training data
- (optionally) the path to the stanford tagger jar file. If not specified here, then this jar file must be specified in the CLASSPATH envinroment variable.
- (optionally) the encoding of the training data (default: UTF-8)
Example:
>>> from nltk.tag import StanfordNERTagger >>> st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz') >>> st.tag('Rami Eid is studying at Stony Brook University in NY'.split()) [('Rami', 'PERSON'), ('Eid', 'PERSON'), ('is', 'O'), ('studying', 'O'), ('at', 'O'), ('Stony', 'ORGANIZATION'), ('Brook', 'ORGANIZATION'), ('University', 'ORGANIZATION'), ('in', 'O'), ('NY', 'LOCATION')]