A miniature Java Search Engine using the Rapid Automatic Keyword Extraction Framework ( RAKE ) and HashMaps
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Updated
Dec 27, 2020 - Java
A miniature Java Search Engine using the Rapid Automatic Keyword Extraction Framework ( RAKE ) and HashMaps
"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 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
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.
Automatic keyword extraction from scientific abstracts, medium articles, and movie reviews.
A movie recommendation web-based application that recommends movies (using a content-based filtering algorithm) to a user.
This Python project shows how to build a content based recommendation system. Data is related to movies.
Source-Recommendation-System takes an article from the user as input and outputs any relevant article from a dataset of 8.5 million articles.
👀 A very simple sentence classifier based on word similarity with NLTK and rake_nltk package
In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)
Keyword based searching and matching algorithm using Deep NLP
PDF Notes + Deep Learning -> AI-Generated Slides
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