Building Trust with Multilingual Sentiment Analysis
Generic sentiment tools often fail in India. Sarcasm, code-mixing, and regional expressions can flip “positive” and “negative” when you only rely on translation.
Awshar AI uses models trained on Indian languages and dialects. That means we capture context: when “bohot hard” means “very difficult” in one context and “very cool” in another, we get it right.
Accurate sentiment isn’t just a nice-to-have-it drives product decisions, campaign tweaks, and crisis response. Multilingual sentiment you can trust starts with data that was built for India.
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