A data category, built on request

English e-commerce support text data, labeled for intent and sentiment

English e-commerce customer support text data is a request for the kind of writing a shopping app's support team handles every day: order queries, return requests, delivery complaints, refund chases. We write and label it to your brief rather than reusing generic examples, so it fits your product's own wording.

The short answer

What is e-commerce customer support text data?

E-commerce customer support text data is a set of written support tickets, chats and replies for an online store, labeled by people for intent, sentiment and category so a model can learn to sort and answer them.

A useful set covers the mix of moods a support queue actually gets: a calm question, a frustrated complaint, a one-line thank you. Labeling by people catches the tone that a keyword search misses.

This category maps to our Data annotation and labeling service. For the wider picture of written data, see text data.

Text a model sees in production rarely looks like a textbook sentence. Typos, abbreviations, mixed formality and mixed languages inside one message are normal, and a model that has only seen clean text tends to misclassify exactly the messages that matter most to get right.

This category at a glance

Data type
Text
Who works on it
Contributors from our network of 30,000+ people worldwide, matched to your brief.
Review
A review pass before anything is delivered.
Your data
NDA first, used only for the agreed scope, returned or deleted when you ask.
First step
A small free sample before you commit.
Before anyone writes a line

Four calls to make on tone and labels

A short brief that answers these saves rework once work begins.

Tone range

A support queue gets calm questions and angry complaints alike. A set that's all one tone won't train a balanced model.

Label scheme

Intent, sentiment, category, or all three. Settling this early avoids relabeling later.

Real tickets or written from scratch

Sharing your own tickets under NDA keeps the wording authentic. Writing from scratch avoids handling live customer data.

Volume and variety

A handful of edge cases matters more than a thousand near-identical messages. Tell us what your model struggles with today.

How it works

From your brief to labeled tickets

One named contact owns the project from scoping to the last file.

  1. Brief

    You tell us the category, the language and roughly how much you need.

  2. NDA and scope

    We sign an NDA before any data moves, then agree the scope with you.

  3. Free sample

    We produce a small sample free, so you can check it before you commit.

  4. Production

    Contributors from our network work in our own tools, to the brief you set.

  5. Review

    A review pass runs before anything is delivered.

  6. Delivery

    The data comes to you, or moves on to another service with us.

Related

Where support text fits

This category runs through our Data annotation and labeling service. You can also browse every category on the datasets hub.

FAQ

Questions about e-commerce support text

The datasets FAQ covers questions that apply across every category.

Do you keep a stock of support tickets we can buy?

No. We write and label text to your brief. There's no inventory to browse.

Can you label existing tickets we already have?

Yes, if you can share them under an NDA. We can also write new ones from scratch if you'd rather not share live customer data.

What labels do you add?

Typically intent, sentiment and category, but we'll match whatever labeling scheme your model needs.

Can this be in a language other than English?

Yes. English is the example here; we write and label support text in other languages on request.

How does this differ from the general text data page?

This page is one example use of text data, scoped to e-commerce support. The text data page covers the format more broadly, across domains.

Can you combine this with other languages or text categories in one project?

Yes. A single brief can cover several languages or text categories at once, handled by one named contact and drawn from our network of 30,000+ people across 150+ delivered projects.

Request this category

Pick the data type, add the languages and a rough volume, and send it. We'll produce a small sample free before you commit.

  1. Your named contact replies within one business day.
  2. We sign an NDA before any data changes hands.
  3. We produce your free sample, then agree the full scope.
What should we produce?
Email this brief

This opens your email app with the brief filled in. Nothing is sent until you press send. You can also use the contact page.