Text Classification — AI for Marketers


Text Classification: What is it?

Text Classification is a technique of categorizing text into organized groups. By using Natural Language Processing (NLP), text classifiers can automatically analyze text and then assign a set of pre-defined tags or categories based on its content.

What are some use cases for Marketers?

Marketers can use text classification to analyze customer feedback, categorize user comments, or understand the main topics in social media mentions.

What are the advantages for Marketers who understand Text Classification?

Automates the process of categorizing large amounts of text, provides valuable insights into customer opinions and behavior.

What are the challenges related to Text Classification?

Text classification algorithms may not always correctly understand the nuances and context of human language, leading to potential inaccuracies.

Examples of applying Text Classification for Marketers

Categorizing customer feedback into categories such as “Pricing”, “Product Features”, “Customer Service”.

The future of Text Classification

We expect advancements in NLP and machine learning to make text classification more accurate and versatile in the future.
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