KennethEnevoldsen/asent

Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.

57
/ 100
Established

This helps you analyze written text to understand the emotions or opinions expressed within it, such as whether a review is positive or negative. You input raw text, and it outputs a sentiment score (e.g., positive, neutral, negative) along with visual explanations of how that score was derived. This is for data analysts, marketers, or researchers who need to quantify sentiment from text data.

120 stars. Used by 1 other package. Available on PyPI.

Use this if you need to quickly and transparently analyze the sentiment of written text and understand the specific words driving that sentiment.

Not ideal if you primarily work with programming languages other than Python or require sentiment analysis for highly specialized, domain-specific language without customization.

sentiment-analysis text-analytics customer-feedback social-media-monitoring market-research
Maintenance 6 / 25
Adoption 11 / 25
Maturity 25 / 25
Community 15 / 25

How are scores calculated?

Stars

120

Forks

16

Language

Python

License

MIT

Last pushed

Oct 20, 2025

Commits (30d)

0

Dependencies

2

Reverse dependents

1

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/KennethEnevoldsen/asent"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.