Skip to content

yingliang1/final-project-NER

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

final-project-NER

  1. NLTK use nltk.py, and the test file is test.txt, the result file is test1_1.csv.
  2. for StanfordNER implement, there need a port so we need use command line to implement, we should convert our path into nltk-stanford then install the setup.py first use 'python setup.py install', after install this file we need open stanford.py file and set the stanfor-ner jar into your own path. after these step finished, use stanford.py get the result use stanfordNER, and we need do some process for the result file like here I use untitled8.py to delete some special strings and use excel to split the string into type and Name-Entity,
  3. the final step after I got the result of compare.CSV, test1_1.CSV, test1_2.CSV file I use accu.py to calculate the accuracy.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published