zhongkaifu/CRFSharp

CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.

48
/ 100
Emerging

This tool helps non-programmers accurately label sequences of text or data by training a custom model. You provide examples of correctly labeled data, and it learns to predict labels for new, unlabeled data, producing output in a similar structured format. It's ideal for domain experts, data analysts, or researchers who need to automate specialized text analysis or pattern recognition tasks.

123 stars. No commits in the last 6 months.

Use this if you need to extract specific entities, classify text segments, or break down sentences into meaningful parts in large volumes of text, based on patterns learned from your own examples.

Not ideal if you're looking for an off-the-shelf solution that doesn't require any training data or if your problem doesn't involve sequence labeling.

named-entity-recognition part-of-speech-tagging text-segmentation information-extraction natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

123

Forks

49

Language

C#

License

BSD-3-Clause

Last pushed

Aug 04, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zhongkaifu/CRFSharp"

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