Vacations, that time when we can forget about everything and relax for a while. There is nothing like spending fantastic days walking around beautiful cities and tasting delicious food. And the hotels, those wonderful places where they can treat us like royalty, even if we don’t have a crown…
When choosing a lodging to stay during our vacations, there are many factors that we must consider. For example, the location, the services included in the rate, the care of the place and the building conditions.
Luckily, we can find out all this before choosing a hotel thanks to the opinions that users leave on the Internet. These are super useful, and not only for those who are thinking of staying in that place. Hotels can find out how people feel when staying at their establishment thanks to all these opinions.
All this is of vital importance for hotel establishments. Taking into account the opinions of users can make the difference between appearing in the first positions of searches to being completely forgotten. And, fortunately, technology offers us tools capable of analyzing these comments on their own, relieving us of that responsibility. These tools are called emotion analysis APIs. And one of the best that can be found on the market today, in 2022, is Opinion Analysis API.
What Is Opinion Analysis API?
If this is your first-time hearing about this, then great. You are in the right place to learn. Opinion Analysis API is an API developed by Zyla Labs. This will become your best ally when it comes to understanding how people feel about your company. This API analyzes user texts to determine if they are for, against or totally indifferent to your brand.
Thanks to this, you will be able to know more precisely how customers felt during their stay in a hotel. And knowing this, you can work to improve the experience of the next visitors. Its purpose is to help you understand the emotions of users, giving you more opportunities for growth and development.
How Does This API Work?
Opinion Analysis API is extremely easy to use, and best of all, it works on its own. This will allow you to dedicate all that time you would waste reviewing comment by comment to more important tasks. By automating this review process, you will benefit your business and your customers.
To work, all this API needs is for you to provide it with the comments it needs to analyze. Opinion Analysis API supports an array of up to 64 elements. It will analyze the first 2000 characters of each one of them and, at the end of its work, it will give you an accurate and reliable result in the form of three outputs: promote, detract or indifferent.
Thanks to this, you will be able to understand what your customers love about your brand, what they do not like so much and what you should improve to capture their attention more.
Other Features And Plans Available
Opinion Analysis API is a perfect tool for establishments almost all over the world, since it supports English, Spanish and Deutch. In addition, except for the limit on the number of monthly calls, this API does not have any other limitations.
Regarding its plans, it has many designed for almost all types of establishments. If you want something more personalized or a product with specific characteristics, you can request it from Zyla. They will contact you to work together and design a service that fits each of your needs. And if before hiring this API you want to test it to learn how it works, you can do that too! Opinion Analysis API has a plan at no cost, with a limit of 25 monthly queries. This is ideal for you to see how useful this tool is.
In an industry like hotel industry, where customer reviews have the power to make your business known or destroy it entirely, it is more than important to take all opinions and suggestions into consideration. With the help of this API, you will be able to get closer to your clients and understand their emotions. Thanks to this, you will be able to establish real emotional connections with them and gain not only a loyal customer base, but also significant growth and development.