Thanks to social media and the internet, we have millions of text data to analyze in these days. Suppose you’re constantly tracking consumer feedbacks about your brand, your competitors and products related to your business. In that case, you should analyze those feedback month to month to understand where your consumers are shifting.
Reading all the conversations that mention your brand, your competitors and analyzing these conversations manually is impossible. But Machine Learning can do that job for you.
Let’s dig in to see how you can auto-label and classify consumer feedbacks or any text data by using a machine learning model.
Sign in to your Kimola Cognitive account to work on your file. You will be directed to cognitive.kimola.com after signing in.
There are 2 ways at Kimola Cognitive to auto-label your text data:
You can train, store and use your custom machine learning models at Kimola Cognitive and auto-label your data with those models. Creating custom machine learning models is the best option if you’re constantly tracking data and want to keep track of your own metrics by analyzing your data daily, weekly or monthly.
* If you don’t have a custom machine learning model and want to create one, read this article on How to Create a Custom Machine Learning Model at Kimola Cognitive.
Kimola publishes public machine learning models at Kimola Gallery and you can use them with every plan! See Kimola Cognitive Gallery and our ready to use machine learning models here.
After signing in to Kimola Cognitive, find “Upload Your Dataset!” on the home page; it’s a big orange cloud with an upload icon and it’s impossible to miss!