Engagement & inbox

Sentiment analysis

Classifying messages as positive, negative or neutral to spot what needs attention.

Sentiment analysis labels the tone of a message, comment or review (positive, negative or neutral), usually with AI.

Why it matters

When volume grows, you cannot read everything at once. Sentiment lets you answer unhappy customers first and spot trends before they become problems.

Using it well

Treat it as triage, not truth: sarcasm and slang still trip models up. Sort negative messages to the top, check them by hand, and watch the weekly share of negative mentions rather than single messages.

How AeroReply helps

AeroReply tags every inbox item positive, negative or neutral, so urgent messages rise to the top. See the inbox →

Questions about Sentiment analysis

Pick a question to see the answer.

  • Good for triage, but sarcasm, slang and mixed messages still cause errors, so review negative items by hand.

  • Prioritising unhappy customers and spotting changes in how people feel about your brand over time.

Related terms

Keep building your social media vocabulary.

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