Text Vibe Analysis API

Text Vibe Analysis API

Text Vibe Analysis API: Decode emotions in text instantly. Gauge sentiment polarity, entity-level analysis. Real-time insights for brands, customer feedback, and trends.

API description

About the API:  

In the vast landscape of digital communication, understanding the sentiments expressed in textual content has become a paramount task. The Text Vibe Analysis API is a technological marvel that uses sophisticated natural language processing algorithms to unravel the intricate tapestry of emotions woven into written text. More than just a tool, it bridges the gap between human expression and artificial intelligence, offering deep insight into emotional nuances that often elude traditional analysis.

In essence, sentiment analysis is the process of determining the emotional tone conveyed by a text. Whether it's a customer review, a social media post or a news article, the Text Vibe Analysis API delves into the subtleties of language, discerning feelings ranging from joy and enthusiasm to sadness and discontent. Harnessing the power of machine learning, it transcends the surface of words, understanding context, tone and sentiment polarity.

While emotions can be complex and multifaceted, the API simplifies the analysis by providing a sentiment polarity score. This score summarizes the overall positivity, negativity or neutrality expressed in the text. This quantifiable metric is invaluable for companies, researchers and individuals seeking a quick understanding of the emotional context within large volumes of text data.

Beyond general sentiment, the API offers granular examination of specific entities mentioned in text. Whether it's products, brands or individuals, entity-level analysis dissects the sentiment associated with each, enabling a nuanced understanding of how different elements are perceived in the given context. This feature is especially useful for users who want to adjust their strategies based on the sentiments of specific entities.

The Text Vibe Analysis API is a testament to the marriage of linguistics and artificial intelligence, offering users a profound tool for navigating the sea of textual expression. As the digital landscape continues to evolve, the ability to distill sentiment from text becomes increasingly critical. The Text Vibe Analysis API, with its ability to decipher the emotional nuances inherent in human communication, stands as a beacon lighting the way for users, businesses, researchers and individuals seeking to understand the emotional landscape within the vast realm of written language.

 

What this API receives and what your API provides (input/output)?

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Social Media Monitoring: Analyze sentiment on platforms like Twitter and Facebook to gauge public opinion about products, brands, or events.

    Customer Reviews Analysis: Evaluate sentiment in customer reviews to understand satisfaction levels and identify areas for improvement.

    Brand Reputation Management: Monitor online content to manage and enhance brand reputation by addressing sentiment-related issues promptly.

    Product Launch Assessment: Evaluate sentiment around a new product or service to gauge its reception and make informed marketing decisions.

    Market Research: Analyze sentiment in market-related discussions to understand consumer preferences and track industry trends.

    Employee Satisfaction Surveys: Use sentiment analysis on internal communication channels to assess employee morale and address concerns.

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation

Endpoints


To use this endpoint you must enter a text in the parameter.



                                                                            
GET https://zylalabs.com/api/3017/text+vibe+analysis+api/3185/sentiment+analysis
                                                                            
                                                                        

Sentiment analysis - Endpoint Features
Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Text":"I love this game","Sentiment":{"Sentiment":"POSITIVE","SentimentScore":{"Positive":0.9998078942298889,"Negative":0.00002836575913534034,"Neutral":0.00005831632370245643,"Mixed":0.00010544667020440102}}}
                                                                                                                                                                                                                    
                                                                                                    

Sentiment analysis - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/3017/text+vibe+analysis+api/3185/sentiment+analysis?text=I love this game' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Vibe Analysis API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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To use this API the user must indicate a text to obtain a sentiment analysis of the text.

The Text Vibe Analysis API is a powerful tool designed to analyze and interpret the emotional tone and sentiment expressed in textual content.

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 Service Level
100%
 Response Time
1,938ms

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