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JevPulse

jaygajera17

Analyze the YouTube comments to gain insights into what the audience is saying from any video link.

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Where Jev makes a decision

Jev analyzes each comment on the dynamic question criteria generated by the LLM : is_opinion (noul): separating substantive discourse from greetings, spam, and timestamps. comment_type (choice): Categorical intent (praise, criticism, question, suggestion, agreement, disagreement, correction, experience, other). specificity (score): 3-point ordinal score measuring argument depth and empirical detail. has_claim (noul): Measuring whether the utterance asserts a verifiable factual claim.

What this project offers

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Review scope

Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.

Sources and implementation

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