The Text Emotion Analysis API by Imentiv analyzes a given piece of text and returns the detected emotional tone(s).**Features:**- The API processes the text, detects emotions for each paragraph, and returns results.- A callback mechanism is supported for asynchronous analysis.- **Supported emotions (28):** Admiration, Amusement, Approval, Caring, Desire, Excitement, Gratitude, Joy/Happy, Love, Optimism, Pride, Relief, Anger, Disappointment, Annoyance, Disapproval, Disgust, Embarrassment, Fear, Grief, Nervousness, Remorse, Sadness, Confusion, Curiosity, Realization, Surprise, Neutral
Imentiv AI Text Emotion API API is one of 6 APIs that Imentiv AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include Text Emotion API. The published artifact set on APIs.io includes an OpenAPI specification and API documentation.
This API exposes
7 operations
across 5 paths,
and defines 12 schemas.
It is described by OpenAPI 3.1.0, at version 1.0.0.
Requests are made against the base URL https://api.imentiv.ai.
7 operations5 paths12 schemas1 DELETE3 GET1 POST2 PUT
Metadata
The identity and technical contract details declared by the specification.
Specification
OpenAPI 3.1.0
API Version
1.0.0
Base URL
https://api.imentiv.ai
Authentication
API Key
Resource Areas
1
Authentication & Security 1
Imentiv AI Text Emotion API API declares
1 security scheme
for authenticating requests.
An API key is passed in the header as X-API-Key (APIKeyHeader).
Paths & Operations 7
Across 5 paths, the API surfaces 7 operations — 1 DELETE, 3 GET, 1 POST, 2 PUT. Each is listed below with its method, path, parameters, and response codes.
Text Emotion API 7
The Text Emotion Analysis API by Imentiv analyzes a given piece of text and returns the detected emotional tone(s). Features: - The API processes the text, detects emotions for ea…
The contract defines 12 schemas that model the data the API accepts and returns. The most detailed are FetchTextResponse (12 properties), TranscriptEmotions (7 properties), TextEmotionResponseV2 (6 properties), Body_upload_text_v2_texts_post (3 properties). Each schema is shown below with its type and property counts.
HTTPValidationError
object
1 property
ValidationError
object
3 properties3 required
PaginatedResponse
object
Model for paginated audio emotion responses. Attributes: documents (List[AudioEmotionResponse]): List of audio responses. count (int): Total count of documents.
2 properties2 required
FetchTextResponse
object
Detailed response for a text emotion analysis request. Attributes: title (Optional[str]): Title of the text (available for v2 texts). modelid (str): Model used…
12 properties2 required
TextReprocessResponse
object
Response model for reprocessing a text analysis request. Attributes: message (str): Additional information about the reprocessing result.
3 properties3 required
DeleteTextResponse
object
Response returned after deleting a text emotion analysis result.
2 properties2 required
TextEmotionResponseV2
object
V2 response model for text emotion detection. Simplified text-only processing without YouTube support. Direct text submission with mandatory title field. Attri…
6 properties5 required
Body_reprocess_text_v1_texts__text_id__put
object
2 properties
Body_edit_text_v1_texts__text_id__emotions_put
object
2 properties1 required
Body_upload_text_v2_texts_post
object
3 properties2 required
Emotions
object
Model representing detected emotions in a sentence. Attributes: emotions (Optional[dict]): Dictionary of emotion scores. sentence (Optional[str]): The sentence…
2 properties
TranscriptEmotions
object
Represents emotional data for a transcript segment. Attributes: emotions (Optional[Dict[str, str]]): Dictionary of detected emotions and their scores or labels…
7 properties1 required
Specification
The full machine-readable OpenAPI contract behind this narrative.
