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Basango: Towards a scalable and intelligent system for Congolese News curation

backend audit backend deploy backend quality backend tests crawler audit crawler quality crawler tests mobile quality

Scope Link
Crawler README.md
Backend README.md
Mobile README.md

Introduction

The "Basango" is a structured and scalable system of news articles sourced from major media outlets covering diverse aspects of the Democratic Republic of Congo (DRC). Designed for efficiency, this system enables the automated collection, processing, and organization of news stories spanning politics, economy, society, culture, environment, and international affairs.

This system is built to support large-scale text analysis, making it a valuable resource for researchers, journalists, policymakers, and data scientists. It facilitates tasks such as sentiment analysis, trend detection, entity recognition, and language modeling, providing deep insights into the evolving socio-political and economic landscape of the DRC.

To ensure quality and reliability, the dataset prioritizes reputable news sources while maintaining an adaptable framework for continuous expansion. However, users are encouraged to critically assess the content, as journalistic standards and perspectives may vary.

Sources

Source Articles Link
radiookapi.net +100k https://www.radiookapi.net/actualite
mediacongo.cd +100k https://www.mediacongo.net/
beto.cd +30k https://www.beto.cd/
actualite.cd +57k https://actualite.cd/
7sur7.cd +50k https://7sur7.cd
newscd.net +5k https://newscd.net
congoindependant.com +10k https://www.congoindependant.com/
congoactu.net +10k https://www.congoactu.net/

Acknowledgment:

The compilation and curation of the "Basango" were conducted by Bernard Ngandu with the primary objective of facilitating research and analysis related to the Democratic Republic of Congo. I do not own the content of the articles, and all rights belong to the respective publishers. The dataset is intended for non-commercial research purposes only.

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Description
Basango : Towards a scalable and intelligent system for Congolese News curation
Readme 43 MiB
Languages
TypeScript 98.1%
Makefile 1.7%
JavaScript 0.2%