A lot of the times, the biggest hindrance to use Machine learning is the unavailability of a data-set. There are many people who want to use AI for categorizing data but that needs making a large data-set giving rise to a situation similar to a chicken-egg problem.

We built this classifier for text classification which relies on Zero-Shot learning technique, and lets you define your own categories to classify the text, hence the name - 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 to new, unseen categories as well not available in training data.

You can read the research publication here