TextBlob is a Python library for natural language processing (NLP) that provides simple APIs for common text analysis tasks such as sentiment analysis, part-of-speech tagging, noun phrase extraction, and text translation. It is built on top of NLTK and Pattern, making it both easy to use and powerful for beginners in NLP. TextBlob is perfect for analyzing text data, automating language tasks, or building intelligent chatbot features.
Installation:
pip install textblob
Example usage:
from textblob import TextBlob
text = "Python is an amazing programming language!"
blob = TextBlob(text)
print("Sentiment:", blob.sentiment)
print("Noun Phrases:", blob.noun_phrases)
print("Translated:", blob.translate(to="es")) # Translate to Spanish
PyPI page: https://pypi.org/project/textblob/
GitHub page: https://github.com/sloria/TextBlob
3 Project Ideas:
- Build a sentiment analyzer for customer reviews.
- Create an automatic language translation or correction tool.
- Develop a text summarizer that highlights key points from articles.
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