Text-Mining/Persian-NER
پیکره بزرگ شناسایی موجودیتهای نامدار فارسی برچسب خورده
This project offers a large, pre-labeled dataset of Persian text, helping researchers and analysts extract specific entities like people, organizations, locations, events, and times from documents. It takes raw Persian text and identifies these named entities, categorizing them for easier information retrieval. Anyone working with Persian text analysis, such as linguists, social scientists, or market researchers, would find this useful.
237 stars. No commits in the last 6 months.
Use this if you need a high-quality, extensive collection of Persian named entity recognition (NER) data for training models or analyzing text.
Not ideal if your primary need is real-time NER processing rather than a dataset for model development or research.
Stars
237
Forks
25
Language
—
License
MIT
Category
Last pushed
Jun 29, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Text-Mining/Persian-NER"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MantisAI/nervaluate
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
dice-group/gerbil
GERBIL - General Entity annotatoR Benchmark
bltlab/seqscore
SeqScore: Scoring for named entity recognition and other sequence labeling tasks
syuoni/eznlp
Easy Natural Language Processing
LHNCBC/metamaplite
A near real-time named-entity recognizer