TextRank implementation for Python 3.

advertools - online marketing productivity and analysis tools

Multilingual Rapid Automatic Keyword Extraction (RAKE) for Python

Combo List Generator for Android Devices (Termux) by @voldemort1912.

[NOT WORKING] 🤖 CLI Twitter Bot. It's made to reach more engagement based on your interests. See https://github.com/edoardottt/twitterbot2

A Python library that enables smooth keyword extraction from any text using the RAKE(Rapid Automatic Keyword Extraction) algorithm.

Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric

使用tf-idf, TextRank4ZH等不同方式从中文文本中提取关键字，从中文文本中提取摘要和关键词

simple rule based named entity recognition

基于关键词的无监督文本分类；Implementation for paper "Text Classification by Bootstrapping with Keywords, EM and Shrinkage" http://www.cs.cmu.edu/~knigam/papers/keywordcat-aclws99.pdf

This Python code scrapes Google search results then applies sentiment analysis, generates text summaries, and ranks keywords.

A handy tool to short-list resumes based on their scores.

RaKUn 2.0 - A fast keyword detection algorithm

Optimize resume for job applications

Keyword Search & Information Gathering Tool

The main objective of this Resume Scanner is to analyse the Resume of the student and comparing it with the company's requirements It was completely built on Python.

An approach to organize text data generated from URLs by tagging it to facilitate data cataloging while maintaining the DCAT standards. Topic modeling algorithm 'LDA' is used for classifying data by finding best descriptor tags based on the content automatically.

A Discord bot that alerts you of new posts in a subreddit matching your keywords

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.