SamEdwardes/spacytextblob
A TextBlob sentiment analysis pipeline component for spaCy.
This tool helps Python developers who are already using spaCy for natural language processing to easily add sentiment analysis to their workflow. It takes text as input and outputs numerical scores for how positive or negative (polarity) and how factual or opinionated (subjectivity) that text is. This is ideal for developers building applications that need to understand the emotional tone of text data.
Used by 1 other package. Available on PyPI.
Use this if you are a Python developer leveraging spaCy and need to quickly integrate sentiment analysis capabilities into your text processing pipeline.
Not ideal if you are looking for a standalone sentiment analysis tool that doesn't require familiarity with spaCy or Python development.
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58
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 30, 2025
Commits (30d)
0
Dependencies
2
Reverse dependents
1
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