Sentiment Classifier API

Utilize text-based sentiment analysis to gain valuable insights and optimize customer interactions seamlessly.

About the API:  

In the broad realm of text-based communication, deciphering underlying feelings is of paramount importance. Enter the Sentiment Classifier API, a critical tool for unraveling emotions, perspectives, and sentiments embedded in textual content.

This API serves as a conduit to drill down into the sentiment landscape within textual data. Leveraging advanced natural language processing (NLP) and machine learning methodologies, it uncovers latent feelings with precision. Designed for a diverse user base that includes businesses, developers, data analysts, and researchers, it allows them to extract invaluable insights from textual information.

Beyond simply understanding emotions, sentiment analysis drives data-driven decisions. By leveraging the capabilities of the Sentiment Classifier API, users can improve customer experiences, fine-tune products and services, design more targeted marketing initiatives, and deftly adapt to changes in public sentiment. This API transforms words into actionable intelligence, catalyzing success in the digital age.

Sentiment analysis finds multifaceted applications in today's data-centric landscape, deeply influencing business strategies, product evolution, and targeted promotional efforts. By monitoring online discourse and media coverage, this API quickly identifies negative sentiments, facilitating rapid interventions.

Powered by advanced algorithms and linguistic models, the API meticulously evaluates textual data. It divides the text into elementary components, such as sentences and words, and then evaluates the tone, emotion and polarity of each entity, categorizing them as positive, negative or neutral.

A notable attribute of the API lies in its adaptability. Integrating seamlessly into a wide variety of applications, whether handling individual text inputs or large-scale data sets, this flexibility allows users to tailor sentiment analysis to their specific requirements.

At its core, the Sentiment Classifier API is a powerful tool for extracting insights from textual data, encouraging informed decision-making, and increasing application effectiveness. Whether aiming to enrich customer interactions, anchor decisions in data-driven insights, or gain deeper understanding of text, this API serves as a gateway to unraveling feelings and opinions latent in words. Enter the realm of textual sentiment analysis and discover the insights that drive success in the digital realm.

 

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 analytics: Assess public sentiment on social platforms to understand brand perception and detect potential issues.

  2. Customer feedback interpretation: Automatically analyze reviews to gain insight into product and customer satisfaction.

  3. Market research: Evaluate market trends and consumer opinion for informed decision making, product development and marketing strategies.

  4. Reputation management: Protect brand image by identifying negative sentiment in online discussions and news articles.

  5. Product reviews: Analyze user reviews and ratings to improve products based on data.

Are there any limitations to your plans?

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

API Documentation

Endpoints


To use this endpoint you must specify a text to be analyzed.



                                                                            
POST https://www.zylalabs.com/api/4014/sentiment+classifier+api/4798/analyze+text
                                                                            
                                                                        

Analyze text - Endpoint Features

Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"sentiment":"negative","score":-0.84}
                                                                                                                                                                                                                    
                                                                                                    

Analyze text - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/4014/sentiment+classifier+api/4798/analyze+text?text=this product is bad' --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 Sentiment Classifier 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.

Simple Transparent Pricing

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πŸš€ Enterprise

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$ 10,000/Year


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Sentiment Classifier API FAQs

To use this API the user must enter a text to be parsed.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent 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.

It is an API that allows users to get the sentiment of different types of text.

The API allows users to analyze customer reviews, comments, and social media posts to measure public sentiment toward their products or services.

The Analyze Text endpoint returns a JSON object containing the sentiment classification of the input text, along with a sentiment score indicating the strength of that sentiment.

The key fields in the response data include "sentiment," which indicates whether the sentiment is positive, negative, or neutral, and "score," which quantifies the sentiment on a scale, typically ranging from -1 (negative) to +1 (positive).

The response data is structured in JSON format, with key-value pairs. For example, a typical response might look like: `{"sentiment":"negative","score":-0.84}`.

The primary parameter for the Analyze Text endpoint is the "text" parameter, which should contain the string of text you want to analyze for sentiment.

Users can customize their requests by varying the input text they provide to the "text" parameter, allowing for analysis of different types of content, such as reviews, comments, or social media posts.

Typical use cases include analyzing customer feedback to improve products, monitoring social media for brand sentiment, and conducting market research to understand consumer opinions.

Data accuracy is maintained through advanced natural language processing algorithms and machine learning models that are continuously trained on diverse datasets to improve sentiment classification.

Users can expect consistent patterns in sentiment scores, where positive texts yield scores closer to +1, negative texts yield scores closer to -1, and neutral texts hover around 0.

General FAQs

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