nlp = spacy.load('en_core_web_md')
text =" Activity Date: 12/18/2019 06:00:00AM CST "
doc = nlp(text)
for entity in doc.ents:
print(entity.label_+" "+ entity.text)
Here spacy is not able to extract date time. I also tried 'en' and 'en_core_web_lg'.
I also encounter a situation when we change the format of the date to (DD/MM/YYYY).It recognizes the date .
text = " 18/12/2019"
doc = nlp(text)
for entity in doc.ents:
print(entity.label_+" "+ entity.text)
Has anyone encountered the same Problem.
Spacy employs probabilistic models to try and identify Named Entities in Natural Language. This means that it gives probabilities that Named Entities are of a certain type (such as a date, a person or an organisation).
You can influence the probability that a Date is recognized correctly in two ways:
Make sure more contextual clues are included in the text surrounding the date, i.e.:
The activity occurred on 12/18/2019 at 06:00:00AM CST
Or, alternatively, you can train the Spacy probabilistic model on your dataset, feeding it where it needs to recognize dates. More info here: https://spacy.io/usage/training
However, maybe your use-case is better suited for Regex approaches or even datetime imports to date recognition? This has been done before, check for example: match dates using python regular expressions
For my particular use case I resolved it by using the dateparser. You can check it our here Dateparser
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