A lot of companies use sentiment analysis these days. This is the process of identifying and analyzing emotions in text-based data. It can be used to identify whether a piece of text is positive, negative, or neutral. It can also be used to identify the underlying emotions behind a piece of text.
Developers need a strong basis on which to develop customized applications for their clients in the field of business, with the purpose of providing easy-to-use tools that can optimize the process of opinion mining.
Sentiment analysis is becoming more and more popular as businesses look for ways to better understand their customers. This is because it can help businesses understand how consumers feel about their products and services. This can help businesses make better decisions when it comes to product development, marketing, and customer service.
There are a number of different tools available for sentiment analysis, but one of the most popular is Sentiment Analysis API.
These opinion mining APIs are easy to use and they can be integrated into existing systems with ease. They can also be used to analyze large amounts of data in no time. This makes them a valuable tool for businesses looking to improve their customer service or marketing strategies.
It allows to go beyond sentiment with Opinion Analysis API to determine if a social post is a promoter, detractor, or indifferent suggestion. It lets the user discover what consumers think and feel about their brand and what they can do to strengthen the emotional connection with consumers.
This API has the meaning to help understand what the users think about one´s ffers and if their opinions help to promote one´s brand, or if they are detractors of one´s brand or, maybe, they are indifferent at all. It must be highlighted that the API supports English, German and Spanish. The API will receive an array of 64 items max. Only the first 2000 characters from each text will be analyzed. Later you will receive the analysis. The possible outputs are promote, detract or indifferent.
Opinion Analysis API is extremely accurate and easy to use. It also offers a free trial so you can try it out before committing to a subscription. Opinion Analysis API allows to analyze sentiments in any text you provide. You simply need to provide the text you want to analyze and the API will return an accurate sentiment score along with a breakdown of the sentiments it detected in the text. You can use this information to better understand how people feel about your products or services.
How To Get Started
Counting on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Opinion Analysis API by simply clicking on the button “Start Trial”. Then meet the needed endpoint and simply provide the search reference. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.
Opinion Analysis API examines the input and processes the request using the resources available (AI and ML). In no time at all the application will retrieve an accurate response. The API has one endpoint to access the information: Analyzer, where you insert the opinión you need to analyze.
If the input is “id”: 1, “language”: “en”, “text”: “Hello I disliked the service” in the endpoint, the response will look like this:
{
"id": "1",
"predictions": [
{
"probability": 1,
"prediction": "Indifferent"
}
{
"id": "2",
"predictions": [
{
"probability": 1,
"prediction": "Promote"
}
{
"id": "3",
"predictions": [
{
"probability": 1,
"prediction": "Detract"
}
{
"id": "4",
"predictions": [
{
"probability": 1,
"prediction": "Indifferent"
}