Wortarten-Tagging

Feature Engineering für NLP in Python

Rounak Banik

Data Scientist

Anwendungen

  • Wortbedeutungen klären
    • "The bear is a majestic animal"
    • "Please bear with me"
  • Sentiment-Analyse
  • Fragebeantwortung
  • Erkennung von Fake News und Meinungsspam
Feature Engineering für NLP in Python

POS-Tagging

  • Jedem Wort seine Wortart zuweisen.
    "Jane is an amazing guitarist."
    
  • POS-Tagging:
    • JaneEigenname
    • isVerb
    • anDeterminierer
    • amazingAdjektiv
    • guitaristSubstantiv
Feature Engineering für NLP in Python

POS-Tagging mit spaCy

import spacy

# Load the en_core_web_sm model
nlp = spacy.load('en_core_web_sm')
# Initiliaze string
string = "Jane is an amazing guitarist"
# Create a Doc object
doc = nlp(string)
Feature Engineering für NLP in Python

POS-Tagging mit spaCy

...
...
# Generate list of tokens and pos tags
pos = [(token.text, token.pos_) for token in doc]
print(pos)
[('Jane', 'PROPN'), 
 ('is', 'VERB'), 
 ('an', 'DET'), 
 ('amazing', 'ADJ'), 
 ('guitarist', 'NOUN')]
Feature Engineering für NLP in Python

POS-Annotationen in spaCy

spaCy-Dokumentation zu POS-Annotationen

Feature Engineering für NLP in Python

Lass uns üben!

Feature Engineering für NLP in Python

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