πŸ“… 2024-05-31 β€” Session: Developed Automated News Portal and Keyword Extractor

πŸ•’ 00:50–02:57
🏷️ Labels: Python, Automation, News Extraction, Online Presence, Data Analysis
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

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 β€˜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.