Top Emotional Analysis Engine API alternatives in 2025

Top Emotional Analysis Engine API Alternatives in 2025

1. Opinion Analysis API

Opinion Analysis API goes beyond simple sentiment analysis by determining whether a social post is a promoter, detractor, or indifferent suggestion. This API helps brands understand consumer opinions and strengthen emotional connections.

• Analyzer: Detects if the text is a promoter, detractor, or indifferent suggestion. It supports English, German, and Spanish, returning labels such as Promote, Detract, and Indifferent.

Read our technical guides for implementation tips.

2. Text Emotion Recognition API

Text Emotion Recognition API allows you to accurately identify and interpret the emotions expressed in a given piece of text. This API utilizes advanced natural language processing (NLP) techniques to analyze text from various sources, including social media, customer support inquiries, and surveys.

• Recognition: This feature accurately identifies and interprets emotions expressed in a piece of text. It leverages advanced NLP techniques to analyze the language used and categorize the emotions expressed by the writer.

{"confidence_score":0.9990007281303406,"emotions":{"sadness":0.9979654550552368},"overall_sentiment":"Negative","sentiment_score":0.4204545454545454,"subjectivity":0.6515151515151515,"summary":"The overall sentiment is negative with a confidence score of 1.00. Sentiment score is 0.42 and subjectivity is 0.65. Key emotions detected include sadness."}

Check out the API documentation to get started.

3. Text Analysis with Personality Traits API

Text Analysis with Personality Traits API uses natural language processing to predict the personality traits of the author of a given text. This API helps in understanding how the author makes decisions, whether they are Emotional or Rational, by focusing on their social values, empathy, facts, and logical deduction.

• Text Analysis: This feature predicts the personality traits to understand how the author of the written text makes decisions, whether they are Emotional (relationship-oriented) or Rational (objective and pragmatic).

[{"id":"1","predictions":[{"prediction":"emotional","probability":0.99875}]}]

Read our technical guides for implementation tips.

4. Multilingual Sentiment Analysis API

Multilingual Sentiment Analysis API is an AI-based API that detects the sentiment provided in a given text, delivering analysis to determine if the feeling is Positive, Neutral, or Negative. Supporting over 50 languages, this API allows you to determine a text's sentiment across various linguistic contexts.

• Analyzer: Pass a text to this endpoint to retrieve the sentiment score and its label, which could be Positive, Negative, or Neutral. The API supports multiple languages, including Russian, German, English, Spanish, Chinese, and Japanese.

{"results":[{"text":"This sentiment analyzer is amazing. It covers many more languages than I have used so far.","label":"positive","confidence":"0.99"}]}

Check out the API documentation to get started.

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