What is Text Classification in NLP?
Text classification or text categorization is a natural language processing (NLP) technique that allows machines to understand and then categorize text into organized groups. Classification algorithms allow machines to automatically analyze text and assign predefined tags or categories to it, based on its contents. Using Skyl.ai’s AI platform you can quickly build and deploy high-quality text classification models in a matter of hours.
Text Classification Industry use case:
MEDIA & PUBLISHING
The age of the internet has brought with its troves of content and data which has become impossible to categorize manually. ML helps companies to automate this process by training algorithms which can categorize a huge amount of text, image, audio, video content into predefined categories and topics
Ecommerce businesses thrive on the element of a wide variety of product and service options to choose from, which a traditional brick and mortar shop can’t provide. The business, at the same time, should make it easier for the consumer to find the product with minimal effort. Ever growing product portfolios make it very difficult to do this categorization manually. AI can categorize products automatically into predefined topics and help to automate this process as and when new products and categories get added
Chat / Email / Topic Modeling
Each day customer service teams spend a huge amount of time reading and resolving chats and queries. AI techniques like NLP (Natural Language Processing) make this time-consuming and monotonous task much easier and convenient. This helps in attending to bulk of customer queries within a short time and achieving customer satisfaction.
Test Assessments & Rating
New-age learning techniques such as e-learning and smart curriculum are employing AI-based Natural Language Processing to evaluate progress in learning. The technology assists teachers in the assessment of the student’s learning based on tests. NLP helps to evaluate these tests and rate the students based on the results.
Try out these ML models
Is it business, politics, sports, or entertainment?
Q&A Topic Tags
Tag user-provided topics from Q&A sessions
Contact Center Topic Modeling
Discover which topics your customers are contacting you about
Customer Reviews Moderation
AI for extracting product mentions and popular terms from customer reviews
Webinar on Text Classification
How to classify documents automatically using NLP
Learn how Machine learning can be used to identify and automatically label news articles
Speakers & Panelists