jenojp/negspacy
spaCy pipeline object for negating concepts in text
Implements the NegEx algorithm to detect negated entities and spans through pattern matching across four categories: pseudo-negations, preceding/following negations, and sentence terminators. Includes domain-specific termsets for clinical text alongside general English, with configurable patterns and support for both named entities and span groups from spaCy 3.0+.
283 stars and 51,270 monthly downloads. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Stars
283
Forks
36
Language
Python
License
MIT
Category
Last pushed
Jun 16, 2025
Monthly downloads
51,270
Commits (30d)
0
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/jenojp/negspacy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
dmlls/negate
negate_sentence(A Python module that doesn't negate sentences.)
Mascerade/supervised-product-matching
⚖️ Neural network for product matching, aka classifying whether two product titles represent the...
sunzeyeah/item-alignment
ccks2022 task9 subtask2 商品同款识别
sugatagh/E-commerce-Text-Classification
Proper categorization of e-commerce products enhances the user experience and achieves better...
MaggieMeow/neko
Product categorization using sequence-to-sequence models and others.