π 2024-05-31 β Session: Developed Automated News Portal and Keyword Extractor
π 00:50β02:57
π·οΈ Labels: Python, Automation, News Extraction, Online Presence, Data Analysis
π Project: Dev
β 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 βImaginario Colectivoβ.
- 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.