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Text Classification: What It Is And Why It’s Good For Your Business

Do you want to find a tool that’ll be helpful for your business? You should try this API!

Text can be an incredibly rich source of information, but due to its unstructured nature, gaining insights from it can be challenging and time-consuming.

However, sorting text data is becoming simpler as a result of developments in machine learning and natural language processing, both of which fall under the broad category of artificial intelligence.

A machine learning technique called text classification assigns a list of predetermined categories to open-ended text. Text classifiers can be used to organize, arrange, and categorize just about any type of text, including files from the web, medical research, and publications.

Machine Learning, NLP: Text Classification using scikit-learn, python and  NLTK. | by Javed Shaikh | Towards Data Science

For instance, new articles can be arranged by themes, support tickets by urgency, chat dialogues by language, brand mentions by emotion, and so forth.

One of the core problems in natural language processing, text classification has a wide range of uses, including sentiment analysis, topic labeling, spam detection, and intent identification.

The importance of text classification

One of the most prevalent types of unstructured data is text, which makes up an estimated 80% of all information. Most businesses don’t fully utilize text data since it is difficult and time-consuming to analyze, analyse, organize, and filter through text data due to its messy nature.

This is where machine learning for text classification comes in. Companies can quickly and efficiently classify all kinds of relevant text, including emails, legal documents, social media posts, chatbot messages, surveys, and more, using text classifiers. As a result, businesses can analyze text data more quickly, automate business procedures, and make decision based on data.

The importance of high-quality text classification is growing for all businesses. Businesses can gain valuable insights from data that aids in automating a variety of business operations when text data is properly organized.

If you’re trying to find the best way to perform text classification we recommend Text Classification IAB Taxonomy.

Why do we recommend Text Classification IAB Taxonomy?

Text Classification IAB Taxonomy is the most accurate IAB Taxonomy content classifier. You will be able to get a simple response with the classification so you can start sorting your data! 

The IAB Taxonomy classifier categorizes texts into one of 360 topics. It has two levels of depth, the main category (e.g. sports, business or science) and subcategories (soccer, agriculture or physics). It’s based on the IAB Quality Assurance Guidelines (QAG) Taxonomy.

What this API receives and what your API provides (input/output)?

 Just pass the text that you want to categorize and you will be given its IAB taxonomy. Simple as that! 

What are the most common uses cases of this API?

This API is intended to help those companies with a large amount of data that needs to be sorted by category. You will be able to gather text by grouping by category.

Ideal for marketing agencies that want to extract data online and want to categorize it as well.

Also, helpful to classify sentences or slogans, you will be given the exact categorization in IAB standards.


Also published on Medium.

Published inApps, technology

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