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Fetch article from a list of newspaper and retrieve relevent article based on a reference keywords file.

Python 76.71% CSS 6.36% HTML 15.06% Shell 1.87%
newspaper3k nlp python3

personalized-newspaper's Introduction

Personalized newspaper

Fetch article from a list of newspapers and retrieve relevent articles based on a reference keywords file. The reference keywords file is updated with keywords of saved articles.

Articles are fetched using the python library newspaper3k.

Word vectors are coming from http://vectors.nlpl.eu/repository with the ID 188.

Relevence is calculated by a cosine similarity between the reference-keywords mean vector representation and the article's keywords mean vector representation.

Installation

Use install_app.sh to install requirements and launch server on localhost port 5000.

chmod +x ./install_app.sh
./install_app.sh

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Contributors

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Watchers

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