Find out what customers really think.

Review & sentiment analysis

In simple words: We read thousands of reviews and comments for you and show what customers praise and complain about most, in simple charts.

Sentiment and topic analysis of product reviews, customer feedback and comments with Python and NLP, delivered as clear charts and spreadsheets.

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Review & sentiment analysis
PythonNLPpandas

For example: A consumer brand had thousands of reviews across marketplaces and no time to read them. The product team got a clear list of what to fix first. See how we did it ↓

The problem

Why teams come to us

Reading thousands of reviews by hand is slow, and you still miss the real mood of your customers.

What you get

  • Positive, neutral and negative labels for every review
  • Confidence scores and an overall summary
  • Themes: what people praise or complain about most
  • Charts plus Excel or CSV exports
  • A Python script to rerun on new batches

Benefits

What changes for your team

01

Understand customers at scale

02

Spot problems early

03

Prioritise product fixes

04

Repeatable every month

How it works

From first call to working result

  1. 1

    Discovery call

    A free 30-minute call to map your goal, sources, volume and where the result should land. NDA on request.

  2. 2

    Sample first

    We build a small working sample so you can check fields, format and quality before the full build.

  3. 3

    Build & test

    We build the full solution, test it on real data and edge cases, and share progress as we go.

  4. 4

    Deliver & support

    You get the result, the source code and short handover notes, plus fixes during the support window.

Example project

What 10,000 reviews really say

The challenge
A consumer brand had thousands of reviews across marketplaces and no time to read them.
What we built
We collected and analysed the reviews, labelled sentiment and grouped the top praise and complaint topics.
The outcome
The product team got a clear list of what to fix first.

An illustrative example of a typical review & sentiment analysis engagement.

What 10,000 reviews really say

Use cases

Where this helps

Product review analysisApp store feedbackSurvey responsesCompetitor reviews

Tech stack

Tools we use

PythonNLPpandasTransformersmatplotlib

FAQ

Questions about review & sentiment analysis

Can you collect the reviews too?

Yes, from public review pages, or you can provide your own files.

Which languages?

English by default; other languages on request.

Can I rerun it myself?

Yes, we can provide the Python script so you can analyse new batches.

Related services

Often combined with

Ready to talk about review & sentiment analysis?

Send a short brief or book a call. A senior engineer replies within a few hours.

Book a free call ↗