# Response Volume And Data Cleaning | Harmate

Harmate turns large volumes of open-ended responses into usable data: noise cleaning, expression grouping, source-response review and quality indicators.

- Canonical URL: https://www.harmate.com/en/product/data-cleaning
- Language: en
- Updated: Wed, 10 Jun 2026 02:49:25 GMT

## Content

#### Turn hundreds of free-text answers into data you can actually use.

Harmate tracks volume, isolates noise, groups close formulations and keeps source verbatims visible so your analysis stays verifiable.
- Product

Response Volume

Data Cleaning

Open Responses
- See The Method
- Create A Free Account

Compact preview of the Harmate open-response volumetry widget.
- N-Grams
- 1-4
- Dependencies
- 3
- Mode
- Performant
- help emerge
- frame discussions
- reformulate tensions
- Numeric Filter
- On
- Source
- API

#### Type An Answer And See Real Volumetry

The text you type is sent to the Harmate API and displayed in the same volumetry widget as the dashboard: n-grams, syntactic dependencies, performant mode and noise filters. No result is stored in the database.
- API Demo

#### Expression Volumetry

#### Sort By:

#### Filter By:

#### Question

Answer

#### Analysis Mode:

#### Expression Mode:

#### Analyzed Volume

#### Size:

Removes words already present in the question when the backend identifies them.
- Hide Question Terms

Removes grades, percentages and other numeric artifacts.
- Hide Expressions With Numbers

#### Most Frequent Expressions

#### Neighbor Expressions

#### Expression Details

#### Understand What The Widget Measures

Volumetry is not just word counting. Harmate turns free-text answers into reviewable signals: repeated expressions, grammatical links, isolated noise and traceability back to source verbatims.
- How It Works

#### N-Gram

#### Syntactic Dependency

#### Performant Mode
- N-Gram Example
- I
- like
- framing
- the
- discussions
- and
- reformulating
- tensions

One word: useful for a first count, but often too weak without context.
- 1-Gram
- framing

Two close words: the signal becomes more precise and less noisy.
- 2-Gram
- framing discussions

Three continuous words: useful to retrieve an almost exact formulation.
- 3-Gram
- like framing discussions

#### Syntactic Dependency Diagram

The graph links words by grammatical function. It is close to what parsing visualizations such as spaCy show: arcs above words to explain the sentence structure.
- I
- like
- framing
- discussions
- reformulating
- tensions
- subject
- complement
- object
- coordination
- object
- Response Volume
- By Question
- Cleaning
- Noise Isolated
- Review
- Source Verbatims

#### How Harmate Makes Response Volume Usable

Collected or imported answers are grouped by questionnaire, question, group and respondent to avoid partial readings.
- Centralize Responses

Close expressions, typography variants and neighboring formulations are grouped to reveal real volumes.
- Normalize Wording

Very short answers, numeric artifacts and contextless signals are identified so they do not pollute conclusions.
- Isolate Noise

Themes, frequent expressions and representative verbatims are connected to turn raw text into a structured reading.
- Group Signals

Each indicator remains tied to original answers so you can check a synthesis before deciding or sharing.
- Verify Sources

#### What The Results Page Helps You Control

#### Volumes By Question

Identify which questions produce enough material and which ones remain too thin to support a decision.

#### Frequent Expressions

Spot recurring formulations, their close variants and the contexts in which they appear.

#### Noise And Artifacts

Prevent an isolated number, empty answer or weak expression from carrying more weight than it should.

#### Unique Respondents

Keep a reliable view when the same respondent has multiple submissions or when an import contains duplicates.

#### Response Quality

Distinguish complete answers, usable verbatims and areas where you need to relaunch or rephrase.

#### Traceability

Keep the link between synthesis, theme, expression and original answer to avoid opaque interpretations.

#### Common Questions About Response Cleaning

#### Does Harmate modify original answers?

No. Cleaning produces a usable reading, but original answers remain available to verify signals, themes and summaries.

#### What counts as noise?

Typical examples include empty answers, isolated numbers without context, verbatims too short to interpret alone, or duplicates that artificially distort volume.

#### Is it only useful for very large questionnaires?

No. The need becomes obvious with hundreds of answers, but cleaning also helps as soon as several open questions, groups or imports need comparison.

#### Does cleaning replace human analysis?

No. It reduces noise and structures the material so human analysis starts from a more reliable, verifiable and shareable base.

#### Analyze Open Responses Without Reading Everything Manually

Volume tracking, cleaning, grouping and source verbatims: Harmate helps you turn a mass of answers into reasoned decisions.
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- Discover Open Questions