YouTube Dislike Viewer

Purpose-built estimator for audience sentiment on YouTube videos using public signals and comments data. It combines sentiment scores from comments with historical dislike baselines and regional adjustments to produce a quantified dislike sentiment estimate. The system outputs an estimated_dislikes value, a confidence score, and data source indicators to support reporting and benchmarking. By design, the tool remains independent from official metrics and adapts to data availability and policy changes. It is suited for content creators, analysts, agencies, and brands seeking actionable insight into audience reactions beyond visible engagement metrics. Core strengths include its ability to operate with partial signals, exportable results, and the ability to compare across videos or campaigns. Use cases range from pre-release forecasting and post-release assessment to cross-video benchmarking and research studies. The tool emphasizes transparent assumptions and provides caveats where data may be incomplete or uncertain, making it appropriate for data-driven decision making without claiming official YouTube metrics.

The estimator is most effective when there is accessible public data (comments, engagement signals) and stable regional parameters. It benefits teams aiming to refine content strategy, optimize publish timing, and monitor sentiment shifts over time. The model remains updated to reflect changes in data availability and platform policies, ensuring continued relevance for researchers and creators.