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Public Relation
Coverage tone & framing read
Scan headlines and snippets to classify whether pickup reads positive, neutral, or skeptical, all before the client asks.
Watch the sessionCoverage Monitor
The brief Naise works from
Scan recent news coverage of brand's announcement and classify each article's framing as positive, neutral, or skeptical based on headline and snippet. Output a sentiment summary with representative examples per category.
Highlighted words are the blanks you fill in. Leave one empty and Naise uses a sensible default.
Sentiment summary
Refillable launch, 19 articles classified
Framing per article with the syndication effect stripped out, plus the one line that got quoted.
4 positive14 neutral1 sceptical
See the full output in the sessionInputs it asks for
brand
For example: Apple
announcement
For example: iPhone 17 launch