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Empower your data with semantic analysis. Integrate new features of customer feedback analysis with the Dictanova API.

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Understanding the data model

We use a simple three level structure to organize data. Each customer is assigned to a single Organization and can manage his Datasets and Documents as needed.

Data Model Overview

Data Model Overview

Organization

The Organization is the top level of the data model. Each customer is assigned to a single Organization and thus isolated from the others. It is not possible in any way to access an organization other than the one a customer is assigned to.

An organization contains all data and parameters relative to a single customer. From a customer point of view, the Organization is transparent as there is no way to interact with this entity.

Dataset

Each organization can contain several datasets (the number of datasets is limited depending on the customer plan). A dataset defines several parameters allowing Dictanova Engine to process data in a proper way.

Global Parameters

  • Unique name
  • Default Language to be used for text and sentiment analysis
  • Document Type and Business Sector to give a hint to Dictanova Engine on how to process documents

Metadata Definitions

Documents can be imported in a dataset along with metadata fields. To get the most value from these metadata, each of them must be defined on the dataset level :

  • Unique code
  • Type (satisfaction score, number, date, ...)
  • Constraints (bounds, allowed values, ...)

All documents imported in this dataset must be consistent with the defined model.

Refer to Dataset Data Model to get full details about the Dataset entity.

Documents

Datasets are containers that allow data importing. Each element imported in a dataset to be analyzed and stored is a Document.

A document is made up of three types of information:

  • Text content to be analyzed
  • Metadata consistent with the model defined on the dataset
  • Parameters such as language and document type to give a hint to Dictanova Engine on how to process content

Refer to Document model to get full details about the Document entity.

Create documents

It is not possible to create a single document in a dataset. It is mandatory to use the Import feature to send your documents for analysis.