Глосарій

Review Sentiment Analysis

The practice of extracting structured insight — positive, negative, thematic — from unstructured customer reviews.

Review sentiment analysis uses NLP and increasingly LLMs to turn thousands of raw reviews on G2, Capterra, Trustpilot, app stores, and forums into structured signal: sentiment scores, recurring themes, feature mentions, comparative complaints, and shifts over time. It is the quantitative layer on top of voice-of-customer work.

For competitive intelligence, review sentiment is one of the richest public data sources. It reveals not just star ratings but the specific reasons users love or hate each competitor — onboarding friction, missing integrations, support quality, pricing surprises. Comparing sentiment across competitors exposes gaps that no marketing page would ever admit to.

Чому це важливо

Reviews are the closest thing to a public customer interview at scale. Teams that mine them systematically out-learn teams that do not.

Пов'язані терміни

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