Text Classification can be useful in understanding customer
behaviour by categorizing conversations on social networks,
feedback and other web sources. Search engines, newspapers, or
e-commerce portals categorize their content or products to
facilitate the search and navigation.
Komprehend Text Classification API achieves state-of-the-art classification accuracy on News Category Dataset.
Komprehend Text Classification solution is built for most demanding requirements, already in use by various industries, from publishing to market research.
With very few labeled examples (100-200), Komprehend Text Classification API can be customized on any dataset.
Text Classification is a very important tool for categorisation of
data sets on a large scale. Text Classification assigns one or more
categories to a text, allowing to structure data for better
insights. We utilize a comprehensive list of taxonomy to categorize
the text content or web page contents into definitive tags.
While this Text Classification API is trained on news headlines, it
can be
customized to categorize any user-defined categories by
providing a small sample of labeled data.
Text classification can help you automatically classify your blog’s content and web pages.
A text classifier is highly customizable and can be trained as per business needs. It can assign and analyze CRM tasks based on priority and relevance, thereby reducing significant time and manual work involved in such tasks.
