Customer sentiment analyzer

Analyze customer feedback text or an export. Compare sentiment by topic, inspect representative quotes and identify improvement priorities with sample limits.

Describe the feedback you want to analyze

Opens your request in Okou. Sign in to run research using available credits. The example below is illustrative.Analyze customer feedback
Start with:

What is a customer sentiment analyzer?

A customer sentiment analyzer classifies the tone expressed in customer feedback and connects it to specific topics. A useful result explains whether comments praise, criticize or mix opinions about a product feature, service experience or process.

Sentiment is an interpretation of text, not a direct measurement of customer loyalty. Sarcasm, short statements and mixed opinions require review. Keep sampling rules, record counts and uncertain classifications visible; do not turn a selected sample into a population-wide satisfaction score.

Feedback sample → topic + sentiment → quotes → improvement priorities

How to use a customer sentiment analyzer

Keep the source records available so classifications can be checked.

  1. 01

    Supply the feedback

    Paste comments or provide an authorized export with record IDs and relevant dates. Remove unnecessary personal information.

  2. 02

    Group tone and topic

    Separate positive, negative, mixed and unclear comments, then connect them to themes.

  3. 03

    Review the evidence

    Inspect quotes and ambiguous records before assigning priorities or reporting a trend.

What can you use this research for?

For customer success, product, marketing and operations teams.

  • Customer support themes

    Find recurring sources of friction in the feedback you supply.

  • Survey interpretation

    Explain what respondents mean in open-ended answers alongside quantitative survey results.

  • Product improvement briefs

    Tie proposed improvements to specific feedback rather than a single aggregate score.

How customer feedback becomes a decision report

Keep evidence and uncertainty visible in the report you share.

AI report generator
How customer feedback becomes a decision report01What is acustomersentimentanalyzer?02How customerfeedbackbecomes adecision report03AI reportgenerator

Why a single sentiment score misses the issue

Illustrative example using fictional data. Five fictional responses about a delivery service.

Sample inputs

Responses
Two praise delivery speed, one criticizes packaging, one says “Fast delivery, damaged box”, and one says “Okay”.

What the evidence supports

  1. Keep mixed feedback separate

    The fast-but-damaged response praises speed and criticizes packaging; it should not disappear into a neutral label.

  2. Investigate packaging

    Two responses mention damage or packaging problems, including the mixed response.

  3. Review unclear language

    “Okay” lacks enough context for a confident satisfaction judgment.

Illustrative classifications. Theme counts may overlap; sentiment labels and denominators must be stated.

Get better results with connectors

Select the feedback that warrants investigation and a measurable follow-up.

Useful connectors

  • Google Sheets
  • Google Docs
  • Notion

Turn themes into an improvement brief

Keep evidence and uncertainty visible in the report you share.

Prioritize improvementsBrowse workflow examples

Customer sentiment analyzer FAQs

Can the tool understand sarcasm?

Sometimes context helps, but ambiguous or sarcastic comments need human review. The report should flag uncertainty instead of forcing a confident label.

Is this the same as NPS or CSAT?

No. NPS and CSAT come from defined survey questions and scoring methods. Sentiment labels derived from text cannot be substituted for those measures.

Can I compare sentiment over time?

Yes, if you keep the collection method, sample definition, language and classification approach comparable. Changes in those factors can change the result independently of customer experience.

Is this tool free to use?

You can explore this page and its illustrative example for free. Research runs in your signed-in Okou account and uses available credits. Data availability and usage limits apply.

Okou also has the google Review Analyzer, the amazon review analyzer and the AI report generator.

Turn themes into an improvement brief

Select the feedback that warrants investigation and a measurable follow-up.

Prioritize improvements