We have built this classifier for text classification which relies on Zero-Shot learning technique called as Custom Classifier. Our base model is trained on a large news corpus of 10 million news articles to discover relationships between sentences and their categories. The resulting model can then generalize on new, unseen categories as well not available in training data.Sign up
try our custom classifier demo
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In the demo below, provide an input text and some categories (labels) in which you want to classify the text. Depending upon the results you get, you may want to provide some sub-categories for your main category. Sub-Categories should be domain-related keywords for your main category, for eg: You can define sub-categories like "Pitcher","Home run","batter" for a main category like Baseball.
add your categories