'Sentiment Analysis' is an Artificial Intelligence task where you do analysis of a statement to see if it has a negative tone or a positive one. It is used to for the analysis of customer responses from a software, an app, a web site or a social media feed.
To indulge in Artificial Intelligence and develop a Sentiment Analysis script is quite a time consuming task but you can do it without any effort using an API from Sulata.Net.
Sulata.Net provides a number of APIs to extend you ease in programming. All you need to do is follow the steps below.
Let us suppose you want to analyze the follow statement.
You just need to send an API request to a URL like this.
You will get a JSON response like this.
The above JSON response says that there is no error and the sentiment has a positive tone. Score 1 is positive, -1 is negative.
With this little line of code, you can make quite a lot of applications, like Customer Feedback Analysis.
There are many other, ready-to-use APIs available at www.sulata.net. You can just grab the idea and launch your own app or use it for any of your requirements.