Developed Automated News Portal and Keyword Extractor

• Day: 2024-05-31
• Time: 00:50 to 02:57
• Project: Dev
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Automation, News Extraction, Online Presence, Data Analysis

Description

Session Goal: The session aimed to develop an automated news portal and a Python-based news keyword extractor to enhance online presence and data-driven content creation.

Key Activities:

• Formulated a strategy for creating multiple online personas to communicate economic topics using data analysis and AI, aiming to establish a public voice in technical and political spheres.
• Planned the development of an automated news portal with thematic sections such as Politics, Economy, and a creative section called ‘Imaginario Colectivo’.
• Developed a Python script for extracting news from RSS feeds using keywords, including structuring the module, configuring crontab for hourly execution, and integrating with Google BigQuery.
• Created a README for the News Keyword Extractor project, detailing installation, usage, and automation processes.

Achievements:

• Established a comprehensive strategy for online presence and news portal development.
• Successfully developed and documented the News Keyword Extractor tool.

Pending Tasks:

• Further testing and deployment of the automated news portal.
• Continuous integration and monitoring of the keyword extractor tool.

Evidence

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• event_ids: []