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Psycholinguistic Text Analytics

auto-generated
swirls add symanto
actionPOSTv1.0.0

Communication & Tonality

Identify the purpose and writing style of a written text. Supported Languages: [`ar`, `de`, `en`, `es`, `fr`, `it`, `nl`, `pt`, `ru`, `tr`, `zh`] Returned labels: * action-seeking * fact-oriented * information-seeking * self-revealing

Source
actionPOSTv1.0.0

Emotion Analysis

Detect the emotions of the text based on Ekman. Supported Langauges: [`en`, `de`, `es`] Returned labels: * anger * disgust * fear * joy * sadness * surprise * no-emotion

Source
actionPOSTv1.0.0

Emotion Analysis

Detect the emotions of the text. Supported Langauges: [`en`, `de`, `es`] Returned labels: * anger * joy * love * sadness * surprise * uncategorized

Source
actionPOSTv1.0.0

Language Detection

Identifies what language a text is written in. Only languages that our API supports can be analyzed. Returned labels: * language_code of the detected language

Source
actionPOSTv1.0.0

Personality Traits

Predict the personality trait of author of any written text. Supported Languages: [`ar`, `de`, `en`, `es`, `fr`, `it`, `nl`, `pt`, `ru`, `tr`, `zh`] Returned labels: * emotional * rational

Source
actionPOSTv1.0.0

Sentiment Analysis

Evaluate the overall tonality of the text. Supported Languages: [`en`, `de`, `es`] Returned labels: * positive * negative

Source
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✓ 6 typed actions · generated from spec