Tree representation of Entity-Relationship in Python using NLTK

Asked Jul 05 '15 at 06:16

Active Sep 18 '18 at 05:14

Viewed 395 times

My aim is to extract entity relationship from a text file. I don't know much how the output should be. I took the input (aaa.txt):

My school situated in Kolkata. The color of the sky is pink. I wonder why?

and got the output:

(S
  My/PRON
  (NP school/NOUN)
  situated/VERB
  in/ADP
  (NP Kolkata/NOUN)
  ./.
  (NP The/DET color/NOUN)
  of/ADP
  (NP the/DET sky/NOUN)
  is/VERB
  (NP pink/NOUN)
  ./.
  I/PRON
  wonder/VERB
  why/ADV
  ?/.)

Is it completely correct? These kinds of problems are not very clear to me, as I am a beginner in both Python and NLTK, and could not find any good clarification from Google. Can the output be presented in a better format (Tree, Tabular etc.) ?

edited Sep 18 '18 at 05:14

asked Jul 05 '15 at 06:16

Salah

Yes. NER works this way. What other information do you wish to extract ? – Utsav T Jul 05 '15 at 06:36
Thanks. Can the output be presented in a better form? – Salah Jul 05 '15 at 07:02
1

Can you define what would be better? – lenz Jul 05 '15 at 07:23
I mean how to remove the tags.?? – Salah Jul 05 '15 at 16:12
possible duplicate of [Extract list of Persons and Organizations using Stanford NER Tagger in NLTK](http://stackoverflow.com/questions/30664677/extract-list-of-persons-and-organizations-using-stanford-ner-tagger-in-nltk) – alvas Jul 05 '15 at 19:05
How to present this entity relationship in tabular format? – Salah Jul 06 '15 at 09:56

Tree representation of Entity-Relationship in Python using NLTK

0 Answers0