There are 1 repository under rake-nltk topic.
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.
Python implementation of the Rapid Automatic Keyword Extraction algorithm using spaCy
PDF Notes + Deep Learning -> AI-Generated Slides
đź‘€ A very simple sentence classifier based on word similarity with NLTK and rake_nltk package
Python Random Keyword Extraction Algorithm in NLTK. Works by analyzing frequency of words and Its co-occurrence with others
Keyword based searching and matching algorithm using Deep NLP
A movie recommendation web-based application that recommends movies (using a content-based filtering algorithm) to a user.
A self-contained Java15 implementation of the Rapid Automatic Keyword Extraction Framework ( RAKE ) for keyword extraction.
Keyword/entity/phrases identification & a possible approach to map to categories
Source-Recommendation-System takes an article from the user as input and outputs any relevant article from a dataset of 8.5 million articles.
PDF keyword extraction using Python 3. Extract text from a PDF document and determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text.
In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)
"Advertising platform ,find the relevant keywords on blog and then find ads which are relevant to them automatically"
The project is a Python implementation of a Text Summarizer. It uses various natural language processing (NLP) techniques to generate a summary of a given text.
A miniature Java Search Engine using the Rapid Automatic Keyword Extraction Framework ( RAKE ) and HashMaps
This Python project shows how to build a content based recommendation system. Data is related to movies.