ZeroDivisionError: division by zero in _calc_discounted_normalised_rank #213

Activity

1. ceteri

   self-assigned this

   on Apr 11, 2022
2. ceteri

   added

   bug

   on Apr 11, 2022
3. ceteri commented on Apr 11, 2022

   

   ceteri

   on Apr 11, 2022

   Collaborator

   More actions

   Hi @sumitkumarjethani, thank you for this report. Let's get it fixed!

   Could you please provide:

   • the code for app.py, or at least the body of the runTextRankEntities() function
   • example data in which the exception occurs
   • how spaCy and the Catalan model was installed
   • versions used for spaCy, the Catalan language model
   • your operating system and version

   Many thanks!
   Paco
4. sumitkumarjethani commented on Apr 12, 2022

   

   sumitkumarjethani

   on Apr 12, 2022

   Author

   More actions

   Yeah sure!

   1. Code used for execution: The original code has a quite modular structure, that's why I provide a quite similar version of the original to make it possible to run it locally (don't panic if it doesn't work as I wrote it on github itself).

   """
   Returns text rank entites
   """

   def getTextRankEntities(doc):

   entities = []
   
   for phrase in doc._.phrases:
       phrase_dict = {}
   
       phrase_dict['entitie'] = phrase.text
       phrase_dict['score'] = phrase.rank
       phrase_dict['n_gram'] = len(phrase.text.split())
       phrase_dict['count'] = phrase.count
   
       entities.append(phrase_dict)
   return entities
   

   """
   Main function to run text rank entites
   """

   def runTextRankEntities(content):

   entities = []
   
   nlp = spacy.load("models/ca_core_news_lg-3.2.0/ca_core_news_lg/ca_core_news_lg-3.2.0") --> here you have to put the catalan pipeline name
   nlp.add_pipe("textrank")
   
   logger.info("Extracting entities with textrank algorithm")
   doc = nlp(content)
   entities = getTextRankEntities(doc)
   logger.info("Entities extracted")
   return entities
   

   2. With regard to the example data where the exception occurs, I am afraid I cannot provide it. However, you can create a string with text in catalan and pass it to the function runTextRankEntities(content).
   3. For the installation of spacy, the following command was executed: pip install spacy
   4. For the installation of spacy catalan model I use the wget command from the repo: https://github.com/explosion/spacy-models/releases/download/ca_core_news_lg-3.2.0/ca_core_news_lg-3.2.0.tar.gz
   5. Spacy version: 3.2.3 | Spacy catalan language model version: 3.2.0
   6. OS: Windows 10 Home

   Any other requirements please let me know and I will try to respond as soon as possible.

   Thank you very much
5. ceteri

   added

   help wanted

   good first issueitems that are good as starting points for new contributorsitems that are good as starting points for new contributors

   on Jul 25, 2022