With the popularity of social media business owners have customers´ opinion at the tip of their fingers. In just a click they can gather precious data for their success.
That is where developers get in: they´re requested to customize tools to scan text and scrape public opinion as a tool for improving commercial experience.
Developers need a strong starting point to develop software for their clients in the world of business, and the most recommendable basis is Opinion Analysis API, that´s easy-to-use, functional, efficient and is kept constantly updated by AI. This API allows users to go beyond sentiment to determine if a social post is a promoter, detractor, or indifferent suggestion. It lets them discover what consumers think and feel about one´s brand and what one can do to strengthen the emotional connection with consumers.
Needless to say that there´s a difference between opinion and point of view is that opinion is what we think about something, whereas the point of view is the way we look at things. Both opinions and points of view are two closely related concepts. That is, our opinion about something -in this case a product we buy or a service we hire- is directly influenced by our point of view about it. Also, both are personal and subjective. But they`re equally relevant in expressing an insight of satisfaction or dissatisfaction about a brand.
A customer might review a product saying the battery life was too short. The sentiment analysis system will note that the negative sentiment isn’t about the product as a whole but about the battery life. This is one of the outstanding reasons why sentiment and/or emotion analysis is the key to learn about one´s own products and services, and even that of competitors, so as to optimize one´s strategies and improve one´s experience.
Besides APIs that provide a sentiment analysis on the text the user provides, this aspect based sentiment analysis API has the function to help understand what the users think about their products and services and if consumers´ opinions help to promote a brand, or they are detractors of one´s brand or, maybe, they are indifferent at all. On top of that, the application supports English, German and Spanish, so it practically has no limitations to its efficiency.
This social post opinion API helps understand what is being said online about one´s brand and products, and to be able to identify which consumers are emotionally connected to one´s brand. It allows to detect what are the texts that promote one´s brand or detract from it. This is helpful to analyze what is missing from one´s product/brand and what is being loved about it.
How To Get Started With This API
If you already count 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”: 3, “language”: “en”, “text”: “This product is buggy. Totally not worth it.“ in the endpoint, the response will look like this:
{ "id": "3", "predictions": [ { "probability": 1, "prediction": "Indifferent" } ] }