Using TextBlob Extension

[Quasarman]

Hello,

how would I use a TextBlob language extension e.g. textblob-de or textblob-fr with spaCyTextBlob? They are mentioned on the official extension website here:

• https://textblob.readthedocs.io/en/dev/extensions.html#extensions

[SamEdwardes]

Hi I will take a look and provide an update here.

[SamEdwardes]

I think this can be done with **kwargs. It will require some updates to the code, I will add this to the do list. Reference:

• Look into using the config parameter in nlp.add_pipe (https://spacy.io/api/language#add_pipe)
• https://github.com/sloria/textblob-fr

https://spacy.io/usage/processing-pipelines#custom-components-factories

import spacy
from spacy.language import Language

@Language.factory("my_component", default_config={"some_setting": True})
def my_component(nlp, name, some_setting: bool):
    return MyComponent(some_setting=some_setting)

nlp = spacy.blank("en")
nlp.add_pipe("my_component", config={"some_setting": False})

[Quasarman]

Alright thank you for the support!

[SamEdwardes]

You should now be able to use TextBlob extensions!

pip install textblob-de
python -m spacy download de_core_news_sm

import spacy
from spacytextblob.spacytextblob import SpacyTextBlob
from textblob_de import TextBlobDE


text = '''
Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss 
unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider 
habe ich nur noch EUR 3.50 in meiner Brieftasche.
'''

@spacy.registry.misc("spacytextblob.de_blob")
def create_de_blob():
    return TextBlobDE

config = {
    "blob_only": True,
    "custom_blob": {"@misc": "spacytextblob.de_blob"}
}

nlp = spacy.load("de_core_news_sm")
nlp.add_pipe("spacytextblob", config=config)
doc = nlp(text)

print(doc._.blob.sentences)
# [Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."), Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."), Sentence("Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.")]

print(doc._.blob.sentiment)
# Sentiment(polarity=0.0, subjectivity=0.0)

print(doc._.blob.tags)
# [('Heute', 'RB'), ('ist', 'VB'), ('der', 'DT'), ('3.', 'LS'), ('Mai', 'NN'), ('2014', 'CD'), ('und', 'CC'), ('Dr.', 'NN'), ('Meier', 'NN'), ('feiert', 'NN'), ('seinen', 'PRP$'), ('43.', 'CD'), ('Geburtstag', 'NN'), ('Ich', 'PRP'), ('muss', 'VB'), ('unbedingt', 'RB'), ('daran', 'RB'), ('denken', 'VB'), ('Mehl', 'NN'), ('usw.', 'IN'), ('für', 'IN'), ('einen', 'DT'), ('Kuchen', 'JJ'), ('einzukaufen', 'NN'), ('Aber', 'CC'), ('leider', 'VBN'), ('habe', 'VB'), ('ich', 'PRP'), ('nur', 'RB'), ('noch', 'IN'), ('EUR', 'NN'), ('3.50', 'CD'), ('in', 'IN'), ('meiner', 'JJ'), ('Brieftasche', 'NN')]

Read more about it in the docs: https://spacytextblob.netlify.app/tutorial/textblob_extensions/