Nlp Keywords Extraction Python Packages

rakun2

RaKUn 2.0 - A fast keyword detection algorithm

keywords

This is a simple library for extracting keywords from data with/without using a corpus.

simple-ner

simple rule based named entity recognition

extra-model

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

keywordx

KeywordX is a lightweight Python library for extracting and matching keywords from text using semantic similarity and entity-based boosting. Perfect for NLP pipelines, chatbots, search systems, and event extraction.

radgraph-it

Italian NLP package for extracting clinical entities and relations from free-text radiology reports.

informationminer

Automatically performs common NLP techniques

chunkey-bert

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

nlp-profiler

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

vidinlp

VidiNLP is a simple, modern, and fast NLP library built on top of spaCy. It provides easy-to-use functions for common NLP tasks such as tokenization, lemmatization, n-gram extraction, sentiment analysis, text cleaning, keyword extraction, emotion analysis, topic modelling, document similarity.

inlp

https://pypi.org/project/iNLP/