AI Text Sentiment Analysis API
ApyHub
![verified icon](/verified.png)
Starting from 500 atoms
AI tier
About
This Utility API uses AI to identify prevailing emotional opinions, classifying them as positive, negative, or neutral within any textual content.
This API aids in understanding public sentiment towards any brand or topic. By mining text for clues about sentiment and associating them with specific aspects of the content, the Sentiment Analysis API offers valuable insights into how people perceive and react to information.
The atoms cost is subjected to change depending on the size of the input file and the provider selected. The list of providers and the atoms cost for each provider is given below:
Provider (requested_service) | Atoms |
---|---|
Azure | 500 |
500 | |
ApyHub | 2000 |
API Playground
This API endpoint does not have a playground yet. Please check back later.
API Documentation
input json: output json
POST
https://api.apyhub.com/ai/text/sentiment/analysis
Request example
Provider (requested_service) | Atoms |
---|---|
Azure | 500 |
500 | |
ApyHub | 2000 |
Method:
POST
Content Type:
application/json
Request Body
Attribute | Type | Mandatory | Description |
---|---|---|---|
text | String | Yes | the textual content for which you want to perform sentiment analysis. - The max content size is 125,000 characters. |
language | String | yes (if azure is selected in requested_service) | the language supported by azure chceck list of supported language link - https://learn.microsoft.com/en-gb/azure/ai-services/language-service/sentiment-opinion-mining/language-support |
encoding | String | No (use if google is selected in requested_service) | the textual content encoding format it can be UTF8 , UTF16 , UTF32 default to UTF8 ' |
requested_service | String | yes | the name of service provider. Supported providers are azure , google , apyhub . Defaults to apyhub |
azure.key | String | yes (if azure is selected in requested_service) | service key provided by azure |
azure.endpoint | String | yes (if azure is selected in requested_service) | the endpoint provided by azure |
google.key | String | yes (if google is selected in requested_service) | service key provided by google |
Sample Response
A successful request returns the sentiment analysis response in the output parameter specified. If the request fails, the response contains an error code and a message to help determine what went wrong.
HTTP Response Codes
The method may return one of the following HTTP status codes:
Status Code | Description |
---|---|
200 | The request was successful. |
400 | Invalid input - the file is corrupt or the supported inputs are not provided. |
401 | Required authentication information is either missing or not valid for the resource. |
500 | If any unexpected error occurs while processing the request. |
Authentication
All API requests to ApyHub services need to be authenticated. Currently we support
tokens
or basic authentication
mechanisms.
You can generate and view your existing credentials from your workspace settings (on the left side of the navbar) and go to “API Keys".Points to note:
- Credential secrets are generated on the fly and are not stored in plain text, so on generating a credential please save the secrets somewhere safe.
- Use the
apy-token
as the header parameter to pass the token. - Use the
Authorization
header to send the basic authentication credentials.
Error codes
To search for a specific error code, enter the code in the search box below. Alternatively, you can click on the button to view a complete list of all error codes.
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