Automatically Summarizing Resumes using Named...

Automatically Summarizing Resumes using Named Entity Recognition (NER) Using SpaCy

Author Name : Arshiya Shaikh, Sabrina Amalkhan, Misba Shaikh, Mrs. Nikhat Fatma Hussain Shaikh

ABSTRACT

Named Entity Recognition which is  otherwise  known as entity chunking, entity extraction  helps  to cite and classify  named entities from ambiguous   text , paragraphs,  resume,   news,  and many  more   to   add   . From  unregulated  text  or regulated   one,   it is   practical   to   extract its core components   given the model     we  use   should be highly trained  and     tested     before    deploying to use. Most research that is going on on NER systems   has been  implemented  by  taking  in   unannotated text and bringing forth the entities  out   of   the text. There are  many  remarkable   NER    platforms  for entity     recognition   like     OpenNLP,  SpaCy, and many   more. We have    executed  withSpaCy and that  of  with the English version. Parsing bulk resumes is an intriguing  task and requires  a lot of  resources  as  well   as   time    as  many  resumes  contain a lot of irrelevant data.

Keywords—Named Entity Recognition, SpaCy, NLP, Words  embed , Encode, Attend,Predict