Refined content classification and query strategy

• Day: 2026-02-23
• Time: 20:55 to 21:10
• Project: Media
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Content Classification, Politics, Queries, Tagging, CRM

Description

Session Goal: The session aimed to refine content classification strategies and improve query methodologies related to political tags within various datasets.

Key Activities:

• Analyzed content segments to categorize themes such as emotional self-awareness, vulnerability, and irrelevant trivia.
• Developed queries for retrieving and summarizing political tags from uploaded files.
• Reviewed operational materials to enhance CRM systemization and tagging accuracy.
• Outlined methods for filtering non-political content from mixed datasets, focusing on true political themes.
• Mapped political content and noise in Argentine contexts, suggesting better tagging and organization into subdomains.

Achievements:

• Improved thematic clarity by reorganizing content based on core topics.
• Established a structured approach for querying political tags, enhancing data retrieval and summary processes.
• Provided practical cleanup rules for effective tagging and content filtering.

Pending Tasks:

• Further refine tagging strategies to separate political content from other domains.
• Implement recommendations for organizing Argentine political content into durable subdomains.

Evidence

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• event_ids: []