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.
Manage the data: Check the data integrated using the API. Check the inference result and revise the result.
Manage the AI model: Train the AI model, test new models, manage model versions.
Analysis: Basic analysis report to get insights from the usage status.
Manage the project: Check API key, billing information, general information of the project, and manage them.
To use the dashboard, you need to create an account and log in to your account. Select the language for the AI model when you create the account and the type of the API when you first log in. Here's a brief summary of what each API does.
NER (Named Entity Recognition): Extracts meaningful keywords (entities) for text descriptions in natural language.
Text classification: Classifies text data to specific categories such as shipping, service, and etc.
Sentiment Analysis: Classifies customer support log to ‘Satisfied’ and ‘Unsatisfied’ to gain customer support insights.
Review Analysis: converts user’s natural language review data to measurable metrics.
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.