soaxelbrooke/phrase
A tool for learning significant phrase/term models, and efficiently labeling with them.
This tool helps non-technical users analyze large amounts of text data, like customer reviews or news articles, to identify important phrases and terms. You input raw text documents, optionally with labels like 'positive sentiment' or 'Business category', and it outputs a list of significant phrases or transforms your text by replacing identified phrases with a standardized version. This is ideal for researchers, marketers, or data analysts who need to quickly understand key concepts within unstructured text.
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Use this if you need to extract meaningful multi-word phrases and key terms from large text datasets to better understand themes, sentiment, or specific domain language, and want a fast, direct solution without deep technical setup.
Not ideal if you need to perform complex natural language understanding tasks beyond phrase extraction, such as question answering, semantic search, or highly nuanced sentiment analysis.
Stars
34
Forks
3
Language
Rust
License
Apache-2.0
Category
Last pushed
Apr 23, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/soaxelbrooke/phrase"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.