Bake — the strangely familiar workflow utility.

Multilingual Rapid Automatic Keyword Extraction (RAKE) for Python

Implementation of RAKE in Chinese

Text analysis for automatic bookmarking/keyword extraction

Python implementation of the Rapid Automatic Keyword Extraction algorithm using spaCy

👀 A very simple sentence classifier based on word similarity with NLTK and rake_nltk package

Keyword extraction is the automated process of extracting the most relevant words and expressions from text.

Text extraction and Keyword scoring according RAKE algorithm. 텍스트 추출 그리고 RAKE 알고리즘에 따른 키워드 스코어링

A very efficient implementation of the Rapid Automatic Keyword Extraction (RAKE) algorithm

Bangla Keyword Extraction Using RAKE Algorithm with some Modification.

Traceability and sales monitoring module to a prospect, focused on telemarketing marketing

A simple Python library to crawl tweets from any handle.

Generates relevant prerequisites for the given Wikipedia page.

A python program that translates sentences into descriptive images.

Source-Recommendation-System takes an article from the user as input and outputs any relevant article from a dataset of 8.5 million articles.

Use NLP to extract keywords and topics as well as match ingredients

🐍 A Python implementation of the Rapid Automatic Keyword Extraction (RAKE) algorithm as described in: Rose, S., Engel, D., Cramer, N., & Cowley, W. (2010). Automatic Keyword Extraction from Individual Documents. In M. W. Berry & J. Kogan (Eds.), Text Mining: Theory and Applications: John Wiley & Sons.

Developed during Google Code-In 2016. Intended for extracting main topics/ideas from subtitles, KeywordExtractor is a command-line based Python tool that extracts keywords from subtitle files using RAKE.

RAKE algorithm implementation - University project.

Developed a Python desktop application for collecting, analyzing, and reporting on unstructured text data from a public Telegram group.