Track sentiment accurately across languages, including dialect and negation handling.
Generic sentiment tools trained mainly on English routinely misclassify negation, slang, and dialect in other languages — a literal translation of a phrase can flip its actual meaning, quietly corrupting your reported reputation score.
A brand operating across multiple markets can't afford a reputation score that's only accurate in one language. A silently wrong score in a market you're not fluent in is worse than no score at all, because it looks trustworthy.
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View PricingA literal translation can flip a phrase's real meaning — Glimpse's dialect- and negation-aware parsing (e.g. Arabic's clitic negation construction) is built specifically to avoid that kind of misclassification.
Mentions are routed to the matching language engine as they're collected, so tracking across multiple languages at once doesn't require manually splitting your brand into separate per-language entities.
Each language runs its own dedicated parsing engine rather than a single model applied everywhere, which is specifically meant to keep accuracy consistent rather than favoring English.
Only English, French, Chinese, Arabic, and Mongolian have dedicated engines today — expanding beyond that set would require building a new engine the same way, per fixes/16's confirmed language list.