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eda_nlp

jasonwei20/eda_nlp

Data augmentation for NLP

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

33views this month

1.7k stars310 forksLast push Mar 19, 2023 Python

Decision brief

EDA_NLP is a Python tool tailored for data augmentation in NLP tasks by applying various techniques such as synonym replacement and word swapping.

Good fit when

- When you are focusing on improving text classification models with limited training data.
- If your project involves enhancing CNN or RNN performance through diverse synthetic data generation.

Avoid when

- Avoid using it if the domain-specific nuances will be lost due to generic synonym replacement, which might not fit specialized vocabularies.
- Not recommended for scenarios where preserving specific text structures (e.g., poetry) is crucial, as position swap and other augmentations could alter the required style or intent.

Observed Jul 12, 2026 · Source: enrich:decision_facts

eda_nlp alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (1280d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install eda_nlp

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository that provides methods for performing data augmentation on natural language processing tasks such as text classification. Includes techniques like synonym replacement and position swap.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

python

Source link

README

Install NLTK (if you don't have it already): Pip install it. Download WordNet.

For agents

This page has a .md twin and JSON over the API.

/tools/jasonwei20-eda-nlp.md GET /api/graphcanon/tools/jasonwei20-eda-nlp GET /api/graphcanon/graph?tool=jasonwei20-eda-nlp