Do you want to know why is text classification important and why you need to implement it? You should keep reading this post!
Data is all around us. Unfortunately, for brands, the majority of it is unstructured and scattered over the broad internet. There is a multitude of market and consumer knowledge available, and text categorization uses artificial intelligence to help us gather it all and make sense of it.
Everywhere you look, there is potentially relevant data, and brands who are good at gathering it are far ahead of their competitors. Let’s examine text categorization and how it functions.
Text categorization is, at its core, the classification of text-based datasets. This can be done on a document level, similar to categorizing books in a library using the Dewey Decimal System, or granularly, by looking at the grammatical context of individual words. If that sounds amazing, it is because it is.
The internet wouldn’t exist as we know it today if text categorization didn’t exist on the digital spectrum. Your search engine scans the internet after you type a word or phrase in order to find what you’re looking for. Additionally, in a professional setting, text categorization tools comb through online journals, forums, blogs, chat logs, social media, and more to offer organized insights on your subject and support your market research.
Text categorization essentially involves grouping text-based digital data according to themes in order to provide the vast amounts of data scattered over the internet some kind of order. Furthermore, sophisticated AI that makes use of natural language processing techniques makes this possible.
Why is text classification so important?
For brands adopting analytics solutions for consumer and market information, this degree of precision is crucial. Working with an incomplete dataset means you’re missing out on blogs or social media posts that advance the debate but have one or more of the aforementioned problems.
You need accuracy in your market research in the fast-paced environment of today’s markets, and this can only be done with technologies that record the complete digital dialogue. The world is your oyster once you’ve cast a wide net to gather all the facts pertinent to your query, regardless of what your brand is attempting to explore.
Our recommendation to classify text is Text Classification IAB Taxonomy
Text Classification IAB Taxonomy is the best IAB Taxonomy content classifier. Not only it’s really accurate but with its classification you’ll be able to organize your data easily.
Texts are categorized using the IAB Taxonomy classifier into one of 360 subjects. The primary category (such as sports, business, or science) and subcategories make up its two levels of depth (soccer, agriculture or physics). It is based on the Taxonomy of the IAB Quality Assurance Guidelines.
What are the most common uses cases of this API?
This API is meant to assist businesses that have a lot of data that has to be categorized. By categorizing the text, you can collect it. This is also ideal for marketing agencies.
Also, helpful to classify sentences or slogans, you will be given the exact categorization in IAB standards.
Also published on Medium.