tyiannak/pyScholar
Python Library to Analyse and Visualise Google Scholar Metadata
This tool helps researchers and academics analyze their Google Scholar profiles or those of their peers. It takes an author's name as input and produces an HTML report that visualizes their publication metrics, co-authors, and common keywords from their work. Anyone needing to understand academic impact and trends would find this useful.
No commits in the last 6 months.
Use this if you want to quickly generate a clear, visual summary of an academic's publications and research themes from their Google Scholar data.
Not ideal if you need to analyze academic data from sources other than Google Scholar or require very deep, customizable statistical analysis beyond what's visualized.
Stars
7
Forks
—
Language
Python
License
MIT
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/tyiannak/pyScholar"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quanteda/quanteda
An R package for the Quantitative Analysis of Textual Data
juliasilge/tidytext
Text mining using tidy tools :sparkles::page_facing_up::sparkles:
massimoaria/tall
Text Analysis for aLL
keyATM/keyATM
An R package for Keyword Assisted Topic Models
gagolews/stringi
Fast and Portable Character String Processing in R (with the Unicode ICU)