eellak/gsoc2019-text-extraction
GSoC 2019: Development of a Tool for Extracting Quantitative Text Profiles
This tool helps scientists and researchers in fields like linguistics or social sciences analyze text without needing coding skills. You feed it multilingual text documents, and it generates quantitative text profiles, providing insights into linguistic features. It's designed for anyone who needs to extract detailed linguistic data from text but isn't a computer science expert.
No commits in the last 6 months.
Use this if you need to analyze text documents to understand their quantitative linguistic features and prefer a simple, visual interface over writing code.
Not ideal if you need highly customized text analysis workflows or are comfortable using programming languages and libraries for your research.
Stars
11
Forks
3
Language
JavaScript
License
—
Category
Last pushed
Jul 07, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/eellak/gsoc2019-text-extraction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
spencermountain/compromise
modest natural-language processing
textlint/textlint
textlint is the pluggable linter for natural language text.
ChristianMurphy/classify-poetry
recognize type poetry in a given text excerpt
Planeshifter/text-miner
text mining utilities for Node.js
aholstenson/ecolect-js
Natural language handling for commands and intents