Platform · Sentiment Analysis
Every article is scored positive, neutral, or negative by an AI model tuned for business and media language — not a generic off-the-shelf classifier. See tone per article, per source, and over time, in any language.
71% positive
342 clips · 12% negative · 17% neutral
Sentiment by source · this month
Why not an off-the-shelf model
Straightforward reporting (“the company announced results”) is neutral, not bad news. Off-the-shelf models routinely mislabel it. InMedia's prompt is built to read media the way a communications team does.
How it works
Generic sentiment models mistake neutral reporting for negativity and miss the difference between a mention and an endorsement. Ours is tuned for business, PR, and news copy — and it keeps learning from your feedback.
Classify
Each article is read in full and scored in its own language — headlines and body, not just keywords.
Attribute
Sentiment is tied to your brand specifically, so a negative story about someone else doesn't drag you down.
Learn
Your thumbs-up / thumbs-down feedback feeds a flywheel that sharpens the model for your coverage over time.
What you get
Per article
Every clip classified positive, neutral, or negative
Multilingual
Scored natively in the article's own language
Over time
Watch mood shift across days, weeks, and campaigns
Risk-aware
Negative coverage flagged separately as reputational risk