Features / AI Sentiment Analysis
AI sentiment analysis that shows how your coverage lands
A story full of negative words can still be good news for your brand. NewsWhip reads each article in full and judges its effect on your reputation, not its tone, measured against your own brief.
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Most sentiment tools only score the language. This one reads the story.
NewsWhip shows you what's being published about your brand and where the story is heading. AI Sentiment Analysis adds how that coverage lands by asking whether a reasonable reader would think differently about your brand.
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A clear read on your coverage, automatically
Add an Analyzer to a search you already run. There's nothing new to build and no keyword lists to maintain.
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Analysis tailored to your brief
Define your own categories — your messages, your narratives, your questions. Coverage is classified against them.
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Answers the questions leadership actually asks for
Show whether your message landed, who's being blamed and whether a false claim is spreading. Every number traces back to the coverage behind it.
Sentiment you can see, not sentiment you reconstruct
Know how your coverage lands without anyone reading it first. Each article in your search is read in full as it's published.
- Reads headline and body, up to 30,000 characters, in any language
- Judges effect on your reputation, not tone
- Backfills the last 30 days, then classifies new coverage continuously
Analysis built around your brief
Tell the model what matters to your team, such as your messaging pillars or the narratives you're watching. Each article is classified against that brief.
- Report on which messages were supported, undermined or not carried
- See how blame is distributed across a story and how it moves
- Track whether a false claim is being repeated or corrected