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Analyse de sentiment par IA

Transformez les retours en texte libre en sentiment noté et consultable, sans data scientist.

  1. 1

    Décrivez vos retours

    Indiquez à Modulify les retours collectés ainsi que les thèmes et les notes souhaités.

  2. 2

    Générez l'outil

    Modulify construit la notation, l'étiquetage thématique, la recherche et les courbes de tendance à partir de votre demande.

  3. 3

    Importez les réponses

    Importez vos exports d'enquêtes, vos tickets ou vos avis, et définissez qui peut les consulter.

  4. 4

    Publiez et agissez

    Connectez votre domaine, publiez et lisez d'un coup d'œil le sentiment et les thèmes.

Un outil d'analyse de sentiment par IA lit les retours en texte libre, note leur tonalité et fait remonter les thèmes pour que votre équipe agisse sur ce que ressentent vraiment vos clients. Modulify transforme une courte description en application interne avec étiquetage, recherche et vues de tendances : fini la lecture manuelle de chaque réponse, en quelques minutes.

Why teams choose Modulify

Feedback piles up in survey exports and support tickets that nobody has time to read line by line. You need a tool that scores tone, groups themes, and lets anyone search the results, without waiting on a data team. Modulify generates it from a prompt and keeps the tags and views editable.

  • Score every response: classify feedback as positive, neutral, or negative automatically.
  • Surface themes: group comments by topic so patterns stop hiding in raw text.
  • Search instantly: filter by sentiment, source, or theme instead of scrolling exports.

What makes a good sentiment analysis tool?

Teams use a sentiment tool when it saves them from reading everything by hand. A good one scores tone consistently, tags recurring themes, tracks how sentiment shifts over time, and lets non-technical people search and filter without a query language. Modulify builds those in and keeps the themes editable, so the tool adapts as your feedback changes.

From product reviews to employee surveys, you get an internal app that turns raw comments into decisions.

De vrais sites créés avec Modulify

De la landing page au site de contenu complet, livrés plus vite grâce à l'IA.

Questions fréquentes

Les questions les plus courantes sur la création de analyse de sentiment par ia avec Modulify.

No. Modulify builds the scoring and tagging into the tool, so anyone on your team can import feedback and read the results. There is no model to train or query language to learn, just a clear interface for tone and themes.

Any open-ended text you collect, including survey responses, support tickets, reviews, and form submissions. You describe the source and the themes you care about, and the tool scores tone and groups comments so patterns become obvious across all of it.

Yes. The tool trends scores across weeks or months so you can see whether sentiment is improving or slipping. That turns one-off reads into a signal you can act on and report, without re-reading every response.

Yes. You define the themes that matter to your product or team, and the tags stay editable as priorities shift. When a new issue emerges, you add a theme and start tracking it, so the tool reflects what you care about now.

You control access with roles, so sensitive feedback stays limited to the right people. Some teams open dashboards widely while restricting raw comments, and permissions make either setup straightforward without exporting data around.

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