Getting Started
Using Allganize's NLU dashboard, you can easily manage your Named Entity Recognition, Text Classification, Sentiment Analysis, and Review Analysis projects.

What You Can Do

Allganize's API dashboard provides multiple features for Named Entity Recognition, Text Classification, Sentiment Analysis, and Review Analysis projects. Below is the list of what you can do:
  1. 1.
    Manage data: Check data integrated using the API. Check the inference result and revise accordingly.
  2. 2.
    Manage the AI model: Train, test new models, and manage model versioning.
  3. 3.
    Analysis: Basic analytics report to get insights about usage.
  4. 4.
    Manage the project: Check API key, billing information, and general information of the project.

Sign Up

To use the dashboard, you need to create an account and/or log in. Select the type of API you would like to use. Here's a brief summary of each one:
  1. 1.
    NER (Named Entity Recognition): Extracts meaningful keywords (entities) for text descriptions in natural language.
  2. 2.
    Text Classification: Classifies text data to specific categories such as shipping, service, etc.
  3. 3.
    Sentiment Analysis: Classifies customer support log to ‘Satisfied’ and ‘Unsatisfied’ to gain customer support insights.
  4. 4.
    Review Analysis: converts user’s natural language review data to measurable metrics.
  5. 5.
    Tree Classification: Classifies text data to multiple categories in a hierarchical manner.

Data Integration

After logging in, you can integrate your data using REST API. Make a request to the API Endpoint to see the inference result on your dashboard, which is the result of inference by AI on the data to get the result by the API type. Please check the links below to learn more about each API:
Once the integration is done, you can check and manage your data from the dashboard.
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What You Can Do
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Data Integration