# graykode/nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

Repository: https://github.com/graykode/nlp-roadmap
Canonical: https://ross.abutalabs.com/products/nlp-roadmap
Homepage: https://www.reddit.com/r/MachineLearning/comments/d8jheo/p_natural_language_processing_roadmap_and_keyword/
License: MIT
License Family: permissive
Topics: natural-language-processing, nlp, roadmap, probability-statistics, machine-learning, textmining, keyword
Last push: 2019-09-29T07:07:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2540, "days_push": 2530, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3266, forks 514 (observed 2026-08-28T04:07:52.929236+00:00)

## What it is
A mind-map style roadmap and keyword collection for students learning Natural Language Processing, covering probability/statistics, machine learning, text mining, and NLP. It is a curated visual curriculum rather than software.

## Use cases
- learn natural language processing from scratch
- find a study roadmap for nlp
- what topics should I learn for nlp
- nlp learning path with keywords
- study probability and statistics for machine learning
- text mining curriculum for beginners

## When to choose
- you want a visual overview of NLP topics to structure self-study
- you need a keyword checklist of prerequisites from statistics to SOTA NLP models

## When to avoid
- you need runnable code, tutorials, or a library rather than a topic map
- you want up-to-date coverage of recent LLM-era techniques, as the content dates from 2019

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning
- domain: machine-learning, tutorials
- platform: cross-platform
- tags: mind-map, roadmap, curriculum, text-mining, probability-statistics, natural-language-processing

## Member repositories
- graykode/nlp-roadmap (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.929236+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:43:50.796615+00:00, confidence not recorded.
  - readme: https://github.com/graykode/nlp-roadmap (fetched 2026-08-28T04:07:52.929236+00:00, sha e374eba336a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.