ParallelDots Text Classification API achieves state-of-the-art classification accuracy on News Category Dataset.
ParallelDots 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), ParallelDots 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.
If you do not have labeled data, it is still possible to build your
own text classifier using SmartReader.
Contact Sales
to schedule a demo.
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.
(30-day subscription)
Checkout our Text Analysis plugins and tool to analyze your textual data without writing any code.
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