All the major companies we know of starting small. Most founders think back to the days when they were starting out, and they love the hustle, grind, and effort of that time. During that phase, only a few people are responsible for everything, and you get to learn a lot on the job.  

When things start becoming better, those small companies start to grow. By expanding, more people get included, and many other new sectors start to pop up. This drives the founders into a top management position where they make all of the decisions. 

Those decisions then shape in which direction the company is going to move. In the meantime, they also need to know about the feedback from their customers, as well as the opinions of various stakeholders. For this to succeed logistically, every company needs online sentiment analysis software.  Read here why feedback from consumers is the most important of them all. 

The internet makes this much easier since you can interact with a wide audience, and this type of software can get the meaning out of a comment or review and make it easily digestible. This means that you can extract the emotions, priorities, and thinking processes that went through the person’s mind.  

What does sentiment analysis mean? 

Whenever someone writes a comment online, it can fall into one of three categories. It can be neutral, positive, or negative. Of course, this is when the comment is left on a company page or as a review. If you’re dealing with a social media page, then you’re probably reading a lot of nonsense in the middle. 

Plus, when you’re trying to single out each positive and negative review that can take up a lot of time. An automated program can do everything for you, and dealing with a sorted list is much easier than scanning through each individual item and then sorting them out.  

This can be done by a new field in AI called Natural Language Processing. When you think about it, computers don’t understand language. If they did, then we’d have a lot on our plate to process. Computers are machines, and they do exactly what we tell them to do.  

This is relatively easy. If you’ve ever entered the world of programming, you know how easy it can be. You write command for the computer to display text, and it listens. However, when it comes to language, it’s a whole different story. Follow this link for more info https://www.computerscience.org/resources/computer-programming-languages/

 Conversational English requires a human brain to be understood. Plus, there are a lot of dialects, metaphors, and hidden meanings inside it. The only way in which a computer can understand a complex mess of words is by supervised and unsupervised AI algorithms.  

This can be achieved by crunching an enormous amount of data. For example, a machine could never write a poem on its own. However, if we give it enough information, such as a dictionary, words that rhyme, poetic rules, punctuation rules, and a large library of every poem that has been written so far, the machine can come up with something similar.  

In fact, there are many projects that have been successful in that area. By using NLP, the machine can start to understand us just a little bit, and that’s the tip of the iceberg that science needs to cross.  

Why is this type of analysis important?  

Getting feedback gives you the knowledge you need to know where your company needs to go. It gives you the much-needed direction, and this type of data is valuable to every business. When you filter all those comments through online sentiment analysis software, you get data in a structured form. That’s going to help out a lot. 

This can help you to optimize customer experience, and a great quality of a successful business is listening to their customers. Another benefit is that it gives you more time to focus on the things that matter.  

Instead of a whole team of people looking through a bunch of comments on social media, they can work on the business and improve it in different ways. This automates the entire feedback loop, and you will get all the info they would have accumulated in the same form. It speeds things up, and you can allocate more staff to the things that are more engaging.  

Can it be used in marketing? 

Of course! This is one of the best ways in which you can use this type of software. When you’re starting out a new marketing campaign, you always create five to ten different ads that go for a test run. Then, you see the results from each one, and then you boost the ones that performed best.  

Adding this software into the mix speeds things up since it helps sort people by their demographic and by the type of their comment. This helps you see how you resonate with different target groups and optimize your buyer personas.  

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