Platform · Sentiment Analysis

Know how your coverage actually feels

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.

Sentiment · last 7 days

71% positive

342 clips · 12% negative · 17% neutral

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Sentiment by source · this month

Economic Times82% pos
YourStory76% pos
Trade blogs54% neutral
Forum threads31% neg
Weighted by article volume

Why not an off-the-shelf model

Neutral news isn't negative — most classifiers get that wrong

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.

  • Brand-attributed tone scored for you, not the whole article's mood
  • Feedback loop every rating you give trains toward a sharper model
  • Feeds AVE sentiment is one of the five factors in your media value
  • Fails safe an uncertain call is surfaced, never silently guessed

How it works

Sentiment built for the way media actually reads

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.

01

Classify

Each article is read in full and scored in its own language — headlines and body, not just keywords.

02

Attribute

Sentiment is tied to your brand specifically, so a negative story about someone else doesn't drag you down.

03

Learn

Your thumbs-up / thumbs-down feedback feeds a flywheel that sharpens the model for your coverage over time.

What you get

Tone you can trust, not a black box

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