Text Sentiment Analyzer API

Text Sentiment Analyzer API

The Text Sentiment Analyzer API is a powerful tool for analyzing and understanding the sentiment of text data.

API description

About the API:

The Text Sentiment Analyzer API is a powerful tool for analyzing and understanding the sentiment of text data. It uses advanced natural language processing techniques to classify text as positive, negative, or neutral, making it easy to understand the opinions and emotions expressed in large volumes of text data. This API is designed to help businesses, researchers, and developers gain valuable insights from customer feedback, social media posts, and other text-based data sources.

One of the key benefits of this API is its ability to automatically classify large volumes of text data quickly and accurately, without the need for manual analysis. This makes it an ideal tool for businesses and researchers who need to process and analyze large amounts of text data on a regular basis.

The API can be used to analyze text data in a variety of languages, including English, Spanish, German, French, Italian, and more. This makes it a versatile tool for businesses and researchers working with text data from a wide range of sources.

Additionally, the API allows for customization of the sentiment analysis model by fine-tuning it with your own dataset, this can increase the accuracy of the results for specific industries or use cases.

In summary, the Text Sentiment Analyzer API is a powerful, easy-to-use tool that allows businesses, researchers, and developers to quickly and accurately understand the sentiment of text data. It can be used to gain valuable insights from customer feedback, social media posts, and other text-based data sources, and it's a versatile tool that can be used to analyze text data in a variety of languages, making it a valuable asset for any organization looking to gain a deeper understanding of their text data.

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

This API will receive the text to analyze, and it will deliver the sentiment based on a confidence score. 

What are the most common uses cases of this API?

  1. Social media sentiment analysis: The Text Sentiment Analyzer API can be used to analyze social media posts and comments in order to understand the sentiment of users towards a particular brand, product or service. This can be used to identify areas of improvement or to track the effectiveness of a marketing campaign.

  2. Customer feedback analysis: The API can be used to process customer feedback, reviews, and survey responses in order to understand the overall sentiment of customers towards a business, product or service. This can help to identify areas of improvement and increase customer satisfaction.

  3. Brand reputation management: The API can be used to track and analyze online mentions of a brand in order to understand the overall sentiment towards the brand and take action to improve it if needed.

  4. News and media analysis: The API can be used to analyze news articles and media coverage in order to understand the sentiment of journalists, publications, and the public towards a particular topic or event.

  5. Financial market sentiment analysis: The API can be used to analyze news articles and social media posts related to stocks and other financial assets in order to understand the sentiment of investors and traders, which can help to predict market trends.

  6. Virtual assistant sentiment analysis: The API can be used to understand the sentiment of users interacting with chatbots and virtual assistants to provide a better and more personalized service and identify potential issues or complaints.

Are there any limitations to your plans?

Besides API call limitations per month, there are no other limitations.

API Documentation

Endpoints


Get the sentiment that any phrase or expression contains.

Do you want to check if the text is Neutral, or somewhat positive, or if it's a negative sentence? Use this endpoint. 

 



                                                                            
POST https://zylalabs.com/api/1011/text+sentiment+analyzer+api/852/sentiment+analyzer
                                                                            
                                                                        

Sentiment Analyzer - Endpoint Features
Object Description
text [Required] Pass the sentence whose sentiment you want to detect.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"sentiments_detected":[{"neg":0,"neu":1,"pos":0,"compound":0,"sentence":"I've been using this API for some time now."},{"neg":0,"neu":0.619,"pos":0.381,"compound":0.5719,"sentence":"I must say that its performance its excellent."},{"neg":0,"neu":0.545,"pos":0.455,"compound":0.3612,"sentence":"I will recommend this tool"}],"sentiment":"positive","success":true}
                                                                                                                                                                                                                    
                                                                                                    

Sentiment Analyzer - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1011/text+sentiment+analyzer+api/852/sentiment+analyzer?text=I've been using this API for some time now. I must say that its performance its excellent. I will recommend this tool' --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 Sentiment Analyzer 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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The API allows you to analyze and understand the sentiment of text data, helping you determine if a phrase or expression is neutral, positive, or negative.

The API has one endpoint, "SENTIMENT ANALYZER," which performs the sentiment analysis on the provided text.

The JSON response will contain the following information: "sentiments_detected": An array of detected sentiments with corresponding scores for negativity (neg), neutrality (neu), positivity (pos), and an overall compound score. "sentiment": The overall sentiment label, which in this case will be "positive." "success": A boolean value indicating the success of the sentiment analysis.

The JSON response for a negative sentiment analysis will have a similar structure to the positive example but with different sentiment scores and labels.

The "compound" score is an overall sentiment score that combines the positive and negative sentiment scores.

The API currently supports analyzing one sentence or phrase at a time. If you have multiple sentences, you would need to make separate API calls for each one.

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 Service Level
100%
 Response Time
858ms

Useful links:


Category:

NLP

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