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Data Journalism and NLP Analyze YouTube Comments on Political Debate

By PulseAugur Editorial · [1 sources] ·

This article details a project that utilized data journalism and Natural Language Processing (NLP) to analyze public opinion on a viral political debate, specifically focusing on over 8,000 YouTube comments related to Indonesian political figure Dedi Mulyadi. The author employed NLP as a journalistic tool to uncover hidden narratives within the comments, aiming to understand public sentiment, dominant emotions, and key discussion topics rather than determining political correctness. The process followed a typical data journalism workflow, starting with a research question and moving through data collection, cleaning, analysis, and storytelling. AI

IMPACT Demonstrates how NLP can be applied as a tool for data journalism to analyze public discourse and uncover narratives within large comment datasets.

RANK_REASON The article describes a personal project using existing tools for analysis, rather than a new release, significant industry event, or research publication.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Data Journalism and NLP Analyze YouTube Comments on Political Debate

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The article describes a personal project using existing tools for analysis, rather than a new release, significant industry event, or research publication.
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48 days old
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Billy Cemerson ·

    How I Used Data Journalism and NLP to Analyze Public Opinion on a Viral Political Debate

    <h4><em>What thousands of YouTube comments reveal about how people react to political narratives, and why data journalism offers a better way to understand them.</em></h4><h3>Introduction</h3><p>Every time a controversial political figure appears online, thousands of people rush …

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