Are you interested in building tools that tracks your Consumers´Opinions? or Do you want to analyze the comments or the opinions about your products? Well, nowadays with the advance of techonology and social media, you need Artificial Intelligence to see, analyze and get more good comments on your business. Keep reading and find out which the best tools for that are.
First, you need to start for the beginning , to know what an API is. It stands for Application Programming Interface, which is a set of definitions and protocols for building and integrating application software. APIs let your product or service communicate with other products and services without having to know they are implemented. This can simplify app development, saving time and money. When you are designing new tools and products; APIs give you flexibility, simplify design, administration and use; and provide opportunities for innovation.
Once you understand what an API is, you need to know what the APIs for sentiment analysis are and what they do. Sentiment analysis or opinion mining is a natural language processing (NLP) technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help business monitor brand and product sentiment in customer feedback, and understand customer´s needs.
Opinion Analysis focuses on the polarity of the a text, it coul be positive, neutral or negative. But it also goes beyond polarity to detect specific feelings and emotions like happy, sad, angry, etc. Depending on how you want to interpret customer feedback and requires, you can define and categorize the sentiments after the analysis.
The good news about this is you will not longer analyze the feedback on your business. Thanks to Artificial Intelligence, sentiment analysis can be done. It has become an essential tool to monitor and understand all types of data. Automatically analyzing customer feedback, such as comments on social media posts, surveys responses and social media conversations; allows brands to learn what makes customers happy or frustrated, so that they can change or eliminate the products in order to meet the customer´s needs. The applications os sentiment analysis are endless and can be applied to any industry, from finance and retail to hospitality and technology. The most used are social media monitoring, brand monitoring, voice of customer, and customer service.
In the biggest marketplace for APIs, ZYLA, offers the best API for Sentiment Analysis. Zyla offers the possibility of getting data of thousand of reviews in just minutes to find the most positive and most negative statements, find out what aspects of your business have positive or negative feedback and extract keywords from the data analyzed.
Zyla will help to increase and develope your business, but how? The benefits of consumer sentiment analysis focus beyond surface-level insights about the customer experiences. They aim to discover not only how consumers feel about a brand, but also why they feel that way. As a result, brands can use the results of sentiment analysis to make impactful changes to a product, service or process to better serve their clients. It demostrates that brands hear what their clients are saying and care enough about their experiences to adjust to their needs. Once you make the changesm you can tract the responses to see if they have improved.
Automating the process of collecting consumer sentiments allows brands to capitalize on more opportunities. They gain findings and insights from more content, plus the accuracy is higher because Artificial Intelligence can analiyze its findings against more pieces of data. If you need to know more about the uses or what it is the appropiate API for your business, contact Zyla and one member of the customer service will help you.