Description
- Use given script to download 1 Wikipedia page (not Marymount)
- Run NLTK’s NER tool.
- Examine both the PERSON and LOCATION Entities
- Calculate Precision, Recall, and F-Measure for both Person or Location (whichever your document has)
pip install pymediawiki
To Harvest WIKI
from mediawiki import MediaWiki
wikipedia = MediaWiki()
p = wikipedia.page('Marymount University')
content= p.content
print(content)
To Tag Named Entities
1) Word Tokenize a Sentence
2) POS tag the tokens
3) print(nltk.ne_chunk(tagged))
Unformatted Attachment Preview
1. Use given script to download 1 Wikipedia page (not
Marymount)
2. Run NLTK’s NER tool.
3. Examine both the PERSON and LOCATION Entities
4. Calculate Precision, Recall, and F-Measure for both Person
or Location (whichever your document has)
pip install pymediawiki
To Harvest WIKI
from mediawiki import MediaWiki
wikipedia = MediaWiki()
p = wikipedia.page('Marymount University')
content= p.content
print(content)
To Tag Named Entities
1) Word Tokenize a Sentence
2) POS tag the tokens
3) print(nltk.ne_chunk(tagged))
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