AI sentiment analysis

Analyze customer feedback and sentiment from Excel or CSV data

Upload reviews, survey comments, support notes, or other text data and turn thousands of responses into a reviewable analysis. ExcelDashboard AI can classify sentiment, group recurring themes, compare customer segments, and connect qualitative feedback with ratings or business metrics.

Analyze customer feedbackFree to start · No credit card required
  • Excel and CSV input
  • Sentiment and theme analysis
  • Charts and report-ready findings

Why it matters

Move from individual comments to evidence you can review

A sentiment score alone rarely explains what customers need. Useful feedback analysis combines sentiment with recurring themes, products, channels, customer segments, ratings, and time periods so teams can see where an issue occurs and how often it appears.

AI accelerates the first pass, but labels and themes still require review. ExcelDashboard AI keeps the source rows available for validation, helps you inspect representative comments, and turns the confirmed findings into charts, summaries, and an editable report.

Capabilities

What you can do with Sentiment Analysis Tool

Sentiment classification

Classify comments as positive, neutral, negative, or a custom business-specific set of labels.

Theme discovery

Group recurring topics such as delivery, pricing, usability, service quality, or product requests.

Segment comparison

Compare sentiment and themes by product, channel, customer type, region, rating, or reporting period.

Traceable reporting

Support summaries with counts, shares, trends, and representative source comments that reviewers can inspect.

How it works

Go from source data to a useful result in three steps

  1. 1

    Prepare and protect the feedback

    Upload an Excel or CSV export after removing direct identifiers and document the meaning of ratings, channels, and missing values.

  2. 2

    Define the coding approach

    Choose sentiment labels, requested themes, segments, reporting period, and how uncertain or mixed comments should be handled.

  3. 3

    Review and report the result

    Inspect label accuracy and representative comments before turning validated findings into charts, conclusions, and actions.

Common use cases

Built around real reporting work

Customer review analysis

Understand recurring praise, complaints, and requests across products, locations, or review sources.

Survey comment analysis

Combine open-text themes with rating questions and respondent segments while keeping sample limitations visible.

Support and service analysis

Analyze ticket notes or case summaries to identify friction points, escalation drivers, and changes over time.

Example prompts

Try a request like this

“Classify sentiment in these reviews, identify the ten most common themes, and show representative comments for each theme.”
“Compare negative feedback by product and month, then chart the issues that increased most recently.”
“Analyze survey comments alongside satisfaction scores and flag themes where sentiment and numeric ratings disagree.”

Frequently asked questions

Questions about Sentiment Analysis Tool

What data can I use for sentiment analysis?+

You can use text fields from Excel or CSV files, including reviews, survey comments, support notes, interview responses, and other customer feedback.

Can the tool analyze more than positive and negative sentiment?+

Yes. You can request neutral, mixed, uncertain, or business-specific labels and ask for themes alongside the sentiment classification.

How should I validate AI sentiment labels?+

Review a sample from every label and theme, inspect uncertain cases, compare results with known ratings, and revise the coding instructions when errors are systematic.

Should personal customer information be uploaded?+

Remove names, email addresses, account identifiers, and other unnecessary personal or sensitive fields before analysis.

Can sentiment findings be turned into a report?+

Yes. Validated counts, trends, themes, examples, limitations, and recommended actions can be organized into an editable feedback report.

Continue your data workflow

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Conversational data analysis

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Chat with Excel or CSV data using AI. Ask questions in plain English and get metrics, tables, charts, explanations, and follow-up analysis without SQL.

Start with your own data

Upload a spreadsheet or describe the result you need. Build the first useful draft with AI, then review and refine it.

Analyze customer feedback