Swarmauri Parser TextBlob
TextBlob-backed parsers for Swarmauri that split text into sentences or extract noun phrases. Ships two components: TextBlobSentenceParser and TextBlobNounParser.
Features
- Sentence parser returns a
Documentper sentence with metadata identifying the parser. - Noun phrase parser returns the original text plus
metadata['noun_phrases']containing the phrases discovered by TextBlob. - Auto-downloads required NLTK corpora (
punkt_tab) during initialization.
Prerequisites
- Python 3.10 or newer.
- TextBlob and its NLTK dependencies (installed automatically).
- Internet access on first run so NLTK can download tokenizer data (or pre-download via
python -m textblob.download_corpora).
Installation
# pip
pip install swarmauri_parser_textblob
# poetry
poetry add swarmauri_parser_textblob
# uv (pyproject-based projects)
uv add swarmauri_parser_textblob
Sentence Parsing
from swarmauri_parser_textblob import TextBlobSentenceParser
parser = TextBlobSentenceParser()
text = "One more large chapula please. It should be extra spicy!"
sentences = parser.parse(text)
for doc in sentences:
print(doc.content)
Noun Phrase Extraction
from swarmauri_parser_textblob import TextBlobNounParser
parser = TextBlobNounParser()
docs = parser.parse("One more large chapula please.")
for doc in docs:
print(doc.content)
print(doc.metadata["noun_phrases"])
Tips
- TextBlob uses simple heuristics—it works well for general English text but may struggle with domain-specific jargon.
- Download corpora once in CI/CD or container builds (
python -m textblob.download_corpora) to avoid runtime downloads. - Combine sentence and noun parsers to build structured representations of documents before vectorization or downstream NLP tasks.
Want to help?
If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.
1 maintainer
Metadata
1 maintainer
Release files for swarmauri_parser_textblob 0.10.0
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| swarmauri_parser_textblob-0.10.0.tar.gz | 7.9 kB | Details |
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| swarmauri_parser_textblob-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / swarmauri_parser_textblob-0.10.0.tar.gz
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