TextBlob — Simple NLP for Marketing Copy

TextBlob — Simple NLP for Marketing Copy

TextBlob is a simple, intuitive Python NLP library built for practitioners who need fast text processing without a steep learning curve. It provides sentiment analysis (polarity and subjectivity), noun phrase extraction, spell correction, word inflection, POS tagging, and language translation — all through a clean, readable API. It is widely used by marketers and content teams for quick copy quality checks, customer review mining, and A/B test copy scoring.

Key Features

• sentiment.polarity (-1 to 1) and sentiment.subjectivity (0 = objective, 1 = subjective)
• Noun phrase extraction for topic modeling of customer reviews
• Spell correction with .correct()
• Word inflection: pluralize, singularize, lemmatize
• Language detection and translation (via Google Translate API, optional)
• Beginner-friendly: no configuration needed

Quick Start

pip install textblob
python -m textblob.download_corpora

from textblob import TextBlob

review = TextBlob("This new ad campaign is absolutely brilliant and very creative!")
print(review.sentiment)
# Sentiment(polarity=0.75, subjectivity=0.85)

# Extract key topics from customer reviews
review2 = TextBlob("The checkout experience was confusing and the email confirmation never arrived.")
print(review2.noun_phrases)
# ['checkout experience', 'email confirmation']

npx ai-supply add textblob-sentiment-nlp

Curated mirror of the open-source TextBlob (MIT). Get it from the source.