Emotional State API designed to analyze the sentiment expressed in textual content. Leveraging advanced natural language processing (NLP) techniques, this API discerns the emotional tone of text, providing valuable information about the attitudes, opinions and emotions conveyed by the author. By accurately detecting sentiment, it enables businesses and developers to gain deeper insights from textual data, improving decision-making processes and enabling more personalized user experiences.
In essence, the Emotional State API employs sophisticated algorithms to classify text into different sentiment categories, typically positive and negative. This classification is based on the semantic meaning and context of the words and phrases used, rather than simply based on matching individual keywords. Thanks to this nuanced approach, the API is able to capture the subtleties of human language, accurately gauging sentiment even in complex or nuanced expressions.
Overall, the Emotional State API analyzes sentiment in textual data. With its ability to accurately classify sentiment across different languages and data sources, along with its complementary capabilities for entity recognition, aspect-based analysis and sentiment trend tracking, the API enables users to gain valuable insights from textual content, driving more informed decision making and enabling a better understanding of customer attitudes and preferences.
It will receive parameters and provide you with a JSON.
Social media monitoring: Sentiment analysis on social media posts to understand public opinion and brand perception.
Customer feedback analysis: Assessing sentiment in customer feedback to identify areas for improvement or measure satisfaction.
Market research: Analyze sentiment in market reports and surveys to measure consumer sentiment towards products or services.
Brand tracking: Tracking sentiment towards a brand or company through online platforms to manage reputation.
Product review analysis: Assessing sentiment in product reviews to understand customer preferences and inform product development.
Besides the number of API calls available for the plan, there are no other limitations.
To use this endpoint, you must specify a text to analyze the sentiment of the text.
Sentiment detection - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"positive_level":"50%","negative_level":"0%","result":"positive","words_count":4}
curl --location --request POST 'https://zylalabs.com/api/3497/emotional+state+api/3831/sentiment+detection' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "I am happy today"
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
To utilize this API effectively, users are required to input a text for the sentiment analysis process to generate insightful results.
The Emotional State API is designed to analyze and interpret the emotional content expressed in textual data.
There are different plans to suit all tastes, including a free trial for a small number of requests, but your rate is limited to avoid abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
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