You can also use this API to see the sentiments themselves and to compare the overall sentiment of a group of Tweets.
Twitter Sentiment Analysis API is a simple and useful tool that helps businesses and individuals easily analyze the sentiment of any Tweets. Using cutting-edge technology, this API accurately identifies positive, negative, or neutral sentiment in Tweets. It can also be used to identify themes in Tweets, making it a powerful tool for marketing research, customer service, and more. The best part is that this API is very easy to use. Simply enter the URL of the Tweets you want to analyze and the API will return the results to you. So now you have an idea of what the Twitter Sentiment Analysis API is and how it can be useful to you! Now let’s get into some more detail so you know exactly how it works.
The Twitter Sentiment Analysis API can be used in NodeJS projects in a number of ways.
The basic usage of this API is very simple; it provides you with two endpoints: one to get the polarity (positive, negative or neutral) of sentiments contained in a tweet, and another one to retrieve a sentiment score ranging from -1.0 to +1.0 (negative being -1.0 and positive being +1.0). The polarity function uses a natural language processing technique called SentiWordNet to determine whether a tweet is positive, negative or neutral. On the other end, the score function uses various factors such as word count, presence of emoticons and capital letters to determine the polarity score.
This API will allow you to recognize the sentiment of a given Tweet URL.
To make use of it, you must first:
1- Go to Tweet Sentiment Analysis API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.